{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T20:38:20Z","timestamp":1789677500873,"version":"4.0.1"},"reference-count":170,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:00:00Z","timestamp":1650412800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:00:00Z","timestamp":1650412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["JARO"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s10162-022-00846-2","type":"journal-article","created":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T14:06:42Z","timestamp":1650463602000},"page":"319-349","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences"],"prefix":"10.1007","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0858-1781","authenticated-orcid":false,"given":"Blake S.","family":"Wilson","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Debara L.","family":"Tucci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David A.","family":"Moses","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edward F.","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nancy M.","family":"Young","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fan-Gang","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicholas A.","family":"Lesica","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9s M.","family":"Bur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hannah","family":"Kavookjian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caroline","family":"Mussatto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph","family":"Penn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Goodwin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shannon","family":"Kraft","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanghui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan M.","family":"Cohen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geoffrey S.","family":"Ginsburg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geraldine","family":"Dawson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Howard W.","family":"Francis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,4,20]]},"reference":[{"key":"846_CR1","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1038\/s41746-018-0040-6","volume":"1","author":"MD Abr\u00e0moff","year":"2018","unstructured":"Abr\u00e0moff MD, Lavin PT, Birch M, Shah N, Folk JC (2018) Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. NPJ Digit Med 1:39. https:\/\/doi.org\/10.1038\/s41746-018-0040-6","journal-title":"NPJ Digit Med"},{"issue":"3","key":"846_CR2","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab0c59","volume":"16","author":"M Angrick","year":"2019","unstructured":"Angrick M, Herff C, Mugler E, Tate MC, Slutzky MW, Krusienski DJ, Schultz T (2019) Speech synthesis from ECoG using densely connected 3D convolutional neural networks. J Neural Eng 16(3):036019. https:\/\/doi.org\/10.1088\/1741-2552\/ab0c59","journal-title":"J Neural Eng"},{"issue":"1","key":"846_CR3","doi-asserted-by":"publisher","first-page":"1055","DOI":"10.1038\/s42003-021-02578-0","volume":"4","author":"M Angrick","year":"2021","unstructured":"Angrick M, Ottenhoff MC, Diener L, Ivucic D, Ivucic G, Goulis S, Saal J, Colon AJ, Wagner L, Krusienski DJ, Kubben PL, Schultz T, Herff C (2021) Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity. Commun Biol 4(1):1055\u20131055. https:\/\/doi.org\/10.1038\/s42003-021-02578-0","journal-title":"Commun Biol"},{"issue":"2","key":"846_CR4","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1038\/s42256-021-00313-2","volume":"3","author":"Anon.","year":"2021","unstructured":"Anon. (2021) Listen to this. Nat Mach Intell 3(2):101. https:\/\/doi.org\/10.1038\/s42256-021-00313-2","journal-title":"Nat Mach Intell"},{"issue":"7753","key":"846_CR5","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1038\/s41586-019-1119-1","volume":"568","author":"GK Anumanchipalli","year":"2019","unstructured":"Anumanchipalli GK, Chartier J, Chang EF (2019) Speech synthesis from neural decoding of spoken sentences. Nature 568(7753):493. https:\/\/doi.org\/10.1038\/s41586-019-1119-1","journal-title":"Nature"},{"key":"846_CR6","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-021-00707-y","author":"AG Armstrong","year":"2021","unstructured":"Armstrong AG, Lam CC, Sabesan S, Lesica NA (2021) Compression and amplification algorithms in hearing aids impair the selectivity of neural responses to speech. Nat Biomed Eng. https:\/\/doi.org\/10.1038\/s41551-021-00707-y","journal-title":"Nat Biomed Eng"},{"issue":"1","key":"846_CR7","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/j.survophthal.2021.03.003","volume":"67","author":"D Benet","year":"2022","unstructured":"Benet D, Pellicer-Valero OJ (2022) Artificial intelligence: the unstoppable revolution in ophthalmology. Surv Ophthalmol 67(1):252\u2013270. https:\/\/doi.org\/10.1016\/j.survophthal.2021.03.003","journal-title":"Surv Ophthalmol"},{"issue":"10\u201311","key":"846_CR8","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1016\/j.specom.2007.02.006","volume":"49","author":"M Benzeghiba","year":"2007","unstructured":"Benzeghiba M, De Mori R, Deroo O, Dupont S, Erbes T, Jouvet D, Fissore L, Laface P, Mertins A, Ris C, Rose R, Tyagi V, Wellekens C (2007) Automatic speech recognition and speech variability: a review. Speech Commun 49(10\u201311):763\u2013786. https:\/\/doi.org\/10.1016\/j.specom.2007.02.006","journal-title":"Speech Commun"},{"key":"846_CR9","unstructured":"Berezutskaya J, Freudenburg ZV, Ramsey NF, G\u00fc\u00e7l\u00fc U, van Gerven MAJ (2017) Modeling brain responses to perceived speech with LSTM networks. In: Duivesteijn W, Pechenizkiy M, Fletcher GHL, Menkovski V, Postma EJ, Vanschoren J, Van Der Putten P (eds) Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning. Technische Universiteit Eindhoven, pp 149\u2013153. https:\/\/pure.tue.nl\/ws\/portalfiles\/portal\/72619856\/benelearn_2017.pdf"},{"issue":"3","key":"846_CR10","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1080\/07434610701553668","volume":"23","author":"DR Beukelman","year":"2007","unstructured":"Beukelman DR, Fager S, Ball L, Dietz A (2007) AAC for adults with acquired neurological conditions: a review. Augment Altern Comm 23(3):230\u2013242. https:\/\/doi.org\/10.1080\/07434610701553668","journal-title":"Augment Altern Comm"},{"issue":"1","key":"846_CR11","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1097\/01.aud.0000111260.46595.ec","volume":"25","author":"A Boothroyd","year":"2004","unstructured":"Boothroyd A (2004) Hearing aid accessories for adults: the remote FM microphone. Ear Hear 25(1):22\u201333. https:\/\/doi.org\/10.1097\/01.aud.0000111260.46595.ec","journal-title":"Ear Hear"},{"issue":"7441","key":"846_CR12","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1038\/nature11911","volume":"495","author":"KE Bouchard","year":"2013","unstructured":"Bouchard KE, Mesgarani N, Johnson K, Chang EF (2013) Functional organization of human sensorimotor cortex for speech articulation. Nature 495(7441):327\u2013332. https:\/\/doi.org\/10.1038\/nature11911","journal-title":"Nature"},{"key":"846_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3210-1","author":"HA Bourlard","year":"1994","unstructured":"Bourlard HA, Morgan N (1994) Connectionist speech recognition. Springer, US, Boston, MA. https:\/\/doi.org\/10.1007\/978-1-4615-3210-1","journal-title":"Springer, US, Boston, MA"},{"issue":"1","key":"846_CR14","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1121\/1.5045322","volume":"144","author":"L Bramslow","year":"2018","unstructured":"Bramslow L, Naithani G, Hafez A, Barker T, Pontoppidan NH, Virtanen T (2018) Improving competing voices segregation for hearing impaired listeners using a low-latency deep neural network algorithm. J Acoust Soc Am 144(1):172. https:\/\/doi.org\/10.1121\/1.5045322","journal-title":"J Acoust Soc Am"},{"issue":"3","key":"846_CR15","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1177\/1545968321989331","volume":"35","author":"MP Branco","year":"2021","unstructured":"Branco MP, Pels EGM, Sars RH, Aarnoutse EJ, Ramsey NF, Vansteensel MJ, Nijboer F (2021) Brain-computer interfaces for communication: preferences of individuals with locked-in syndrome. Neurorehabil Neural Repair 35(3):267\u2013279. https:\/\/doi.org\/10.1177\/1545968321989331","journal-title":"Neurorehabil Neural Repair"},{"key":"846_CR16","first-page":"330","volume":"6","author":"P Broca","year":"1861","unstructured":"Broca P (1861) Remarques sur le si\u00e8ge de la facult\u00e9 du langage articul\u00e9, suivies d\u2019une observation d\u2019aph\u00e9mie (perte de la parole). Bulletin Et Memoires De La Societe Anatomique De Paris 6:330\u2013357","journal-title":"Bulletin Et Memoires De La Societe Anatomique De Paris"},{"issue":"5","key":"846_CR17","doi-asserted-by":"publisher","first-page":"843","DOI":"10.1177\/0194599815572792","volume":"152","author":"CD Brook","year":"2015","unstructured":"Brook CD, Platt MP, Russell K, Grillone GA, Aliphas A, Noordzij JP (2015) Time to competency, reliability of flexible transnasal laryngoscopy by training level. Otolaryngol Head Neck Surg 152(5):843\u2013850. https:\/\/doi.org\/10.1177\/0194599815572792","journal-title":"Otolaryngol Head Neck Surg"},{"issue":"3\u20134","key":"846_CR18","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1159\/000261913","volume":"49","author":"CP Browman","year":"1992","unstructured":"Browman CP, Goldstein L (1992) Articulatory phonology: an overview. Phonetica 49(3\u20134):155\u2013180. https:\/\/doi.org\/10.1159\/000261913","journal-title":"Phonetica"},{"issue":"1","key":"846_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1044\/2017_AJSLP-16-0244","volume":"27","author":"JS Brumberg","year":"2018","unstructured":"Brumberg JS, Pitt KM, Mantie-Kozlowski A, Burnison JD (2018) Brain-computer interfaces for augmentative and alternative communication: a tutorial. Am J Speech Lang Pathol 27(1):1\u201312. https:\/\/doi.org\/10.1044\/2017_AJSLP-16-0244","journal-title":"Am J Speech Lang Pathol"},{"key":"846_CR20","doi-asserted-by":"publisher","first-page":"65","DOI":"10.3389\/fnins.2011.00065","volume":"5","author":"JS Brumberg","year":"2011","unstructured":"Brumberg JS, Wright EJ, Andreasen DS, Guenther FH, Kennedy PR (2011) Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech-motor cortex. Front Neurosci 5:65. https:\/\/doi.org\/10.3389\/fnins.2011.00065","journal-title":"Front Neurosci"},{"issue":"4","key":"846_CR21","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1177\/0194599819827507","volume":"160","author":"AM Bur","year":"2019","unstructured":"Bur AM, Shew M, New J (2019) Artificial intelligence for the otolaryngologist: a state of the art review. Otolaryngol Head Neck Surg 160(4):603\u2013611. https:\/\/doi.org\/10.1177\/0194599819827507","journal-title":"Otolaryngol Head Neck Surg"},{"issue":"1","key":"846_CR22","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1093\/cercor\/bhw393","volume":"27","author":"D Carey","year":"2017","unstructured":"Carey D, Krishnan S, Callaghan MF, Sereno MI, Dick F (2017) Functional and quantitative MRI mapping of somatomotor representations of human supralaryngeal vocal tract. Cereb Cortex 27(1):265\u2013278. https:\/\/doi.org\/10.1093\/cercor\/bhw393","journal-title":"Cereb Cortex"},{"issue":"1","key":"846_CR23","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1023\/a:1007379606734","volume":"28","author":"R Caruana","year":"1997","unstructured":"Caruana R (1997) Multitask learning. Mach Learn 28(1):41\u201375. https:\/\/doi.org\/10.1023\/a:1007379606734","journal-title":"Mach Learn"},{"issue":"1","key":"846_CR24","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1007\/s13534-015-0175-1","volume":"5","author":"S Chakrabarti","year":"2015","unstructured":"Chakrabarti S, Sandberg HM, Brumberg JS, Krusienski DJ (2015) Progress in speech decoding from the electrocorticogram. Biomed Eng Lett 5(1):10\u201321. https:\/\/doi.org\/10.1007\/s13534-015-0175-1","journal-title":"Biomed Eng Lett"},{"key":"846_CR25","unstructured":"Chakravorti B (2021) How to close the digital divide in the United States. Harv Bus Rev. https:\/\/hbr.org\/2021\/07\/how-to-close-the-digital-divide-in-the-u-s (HBR Technology and Analytics online)"},{"key":"846_CR26","doi-asserted-by":"publisher","unstructured":"Chang EF, Anumanchipalli GK (2019) Toward a speech neuroprosthesis. JAMA. https:\/\/doi.org\/10.1001\/jama.2019.19813 (Epub ahead of print)","DOI":"10.1001\/jama.2019.19813"},{"issue":"5","key":"846_CR27","doi-asserted-by":"publisher","first-page":"1042","DOI":"10.1016\/j.neuron.2018.04.031","volume":"98","author":"J Chartier","year":"2018","unstructured":"Chartier J, Anumanchipalli GK, Johnson K, Chang EF (2018) Encoding of articulatory kinematic trajectories in human speech sensorimotor cortex. Neuron 98(5):1042\u20131054. https:\/\/doi.org\/10.1016\/j.neuron.2018.04.031","journal-title":"Neuron"},{"issue":"4","key":"846_CR28","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1006\/csla.1999.0128","volume":"13","author":"SF Chen","year":"1999","unstructured":"Chen SF, Goodman J (1999) An empirical study of smoothing techniques for language modeling. Comput Speech Lang 13(4):359\u2013393. https:\/\/doi.org\/10.1006\/csla.1999.0128","journal-title":"Comput Speech Lang"},{"key":"846_CR29","unstructured":"Cherry EC (1962) The cocktail party problem. Discovery March:32\u201335"},{"key":"846_CR30","doi-asserted-by":"publisher","DOI":"10.1038\/s41433-021-01540-y","author":"R Cheung","year":"2021","unstructured":"Cheung R, Chun J, Sheidow T, Motolko M, Malvankar-Mehta MS (2021) Diagnostic accuracy of current machine learning classifiers for age-related macular degeneration: a systematic review and meta-analysis. Eye (lond). https:\/\/doi.org\/10.1038\/s41433-021-01540-y","journal-title":"Eye (lond)"},{"key":"846_CR31","doi-asserted-by":"publisher","unstructured":"Cho K, van Merrienboer B, Gulcehre C, Bahdanau D, Bougares F, Schwenk H, Bengio Y (2014) Learning phrase representations using RNN encoder\u2013decoder for statistical machine translation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, Stroudsburg, PA, pp 1724\u20131734. https:\/\/doi.org\/10.3115\/v1\/d14-1179","DOI":"10.3115\/v1\/d14-1179"},{"issue":"1\u20132","key":"846_CR32","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.heares.2009.01.005","volume":"250","author":"K Chung","year":"2009","unstructured":"Chung K, Zeng FG (2009) Using hearing aid adaptive directional microphones to enhance cochlear implant performance. Hear Res 250(1\u20132):27\u201337. https:\/\/doi.org\/10.1016\/j.heares.2009.01.005","journal-title":"Hear Res"},{"key":"846_CR33","unstructured":"Collobert R, Puhrsch C, Synnaeve G (2016) Wav2Letter: an end-to-end ConvNet-based speech recognition system.\u00a0https:\/\/arxiv.org\/abs\/1609.03193 (preprint)"},{"issue":"12","key":"846_CR34","doi-asserted-by":"publisher","first-page":"2955","DOI":"10.1523\/JNEUROSCI.2382-17.2018","volume":"38","author":"DF Conant","year":"2018","unstructured":"Conant DF, Bouchard KE, Leonard MK, Chang EF (2018) Human sensorimotor cortex control of directly measured vocal tract movements during vowel production. J Neurosci 38(12):2955\u20132966. https:\/\/doi.org\/10.1523\/JNEUROSCI.2382-17.2018","journal-title":"J Neurosci"},{"issue":"3","key":"846_CR35","doi-asserted-by":"publisher","first-page":"1562","DOI":"10.1121\/1.2166600","volume":"119","author":"M Cooke","year":"2006","unstructured":"Cooke M (2006) A glimpsing model of speech perception in noise. J Acoust Soc Am 119(3):1562\u20131573. https:\/\/doi.org\/10.1121\/1.2166600","journal-title":"J Acoust Soc Am"},{"issue":"1","key":"846_CR36","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1093\/brain\/32.1.44","volume":"32","author":"H Cushing","year":"1909","unstructured":"Cushing H (1909) A note upon the faradic stimulation of the postcentral gyrus in conscious patients. Brain 32(1):44\u201353. https:\/\/doi.org\/10.1093\/brain\/32.1.44","journal-title":"Brain"},{"issue":"4","key":"846_CR37","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aba6f8","volume":"17","author":"N Das","year":"2020","unstructured":"Das N, Zegers J, Van hamme H, Francart T, Bertrand A, (2020) Linear versus deep learning methods for noisy speech separation for EEG-informed attention decoding. J Neural Eng 17(4):046039. https:\/\/doi.org\/10.1088\/1741-2552\/aba6f8","journal-title":"J Neural Eng"},{"issue":"8","key":"846_CR38","doi-asserted-by":"publisher","first-page":"2248","DOI":"10.3390\/s20082248","volume":"20","author":"D Dash","year":"2020","unstructured":"Dash D, Ferrari P, Dutta S, Wang J (2020) NeuroVAD: real-time voice activity detection from non-invasive neuromagnetic signals. Sensors (basel, Switzerland) 20(8):2248. https:\/\/doi.org\/10.3390\/s20082248","journal-title":"Sensors (basel, Switzerland)"},{"issue":"6","key":"846_CR39","doi-asserted-by":"publisher","first-page":"1485","DOI":"10.1097\/AUD.0000000000001051","volume":"42","author":"A Davidson","year":"2021","unstructured":"Davidson A, Marrone N, Wong B, Musiek F (2021) Predicting hearing aid satisfaction in adults: a systematic review of speech-in-noise tests and other behavioral measures. Ear Hear 42(6):1485\u20131498. https:\/\/doi.org\/10.1097\/AUD.0000000000001051","journal-title":"Ear Hear"},{"issue":"9","key":"846_CR40","doi-asserted-by":"publisher","first-page":"1342","DOI":"10.1038\/s41591-018-0107-6","volume":"24","author":"J De Fauw","year":"2018","unstructured":"De Fauw J, Ledsam JR, Romera-Paredes B, Nikolov S, Tomasev N, Blackwell S, Askham H, Glorot X, O\u2019Donoghue B, Visentin D, van den Driessche G, Lakshminarayanan B, Meyer C, Mackinder F, Bouton S, Ayoub K, Chopra R, King D, Karthikesalingam A, Hughes CO, Raine R, Hughes J, Sim DA, Egan C, Tufail A, Montgomery H, Hassabis D, Rees G, Back T, Khaw PT, Suleyman M, Cornebise J, Keane PA, Ronneberger O (2018) Clinically applicable deep learning for diagnosis and referral in retinal disease. Nat Med 24(9):1342\u20131350. https:\/\/doi.org\/10.1038\/s41591-018-0107-6","journal-title":"Nat Med"},{"key":"846_CR41","unstructured":"Densen P (2011) Challenges and opportunities facing medical education. Trans Am Clin Climatol Assoc 122:48\u201358. https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3116346\/"},{"issue":"1","key":"846_CR42","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.cell.2018.05.016","volume":"174","author":"BK Dichter","year":"2018","unstructured":"Dichter BK, Breshears JD, Leonard MK, Chang EF (2018) The control of vocal pitch in human laryngeal motor cortex. Cell 174(1):21-31.e29. https:\/\/doi.org\/10.1016\/j.cell.2018.05.016","journal-title":"Cell"},{"key":"846_CR43","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101814","volume":"67","author":"D Dov","year":"2021","unstructured":"Dov D, Kovalsky SZ, Assaad S, Cohen J, Range DE, Pendse AA, Henao R, Carin L (2021) Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images. Med Image Anal 67:101814. https:\/\/doi.org\/10.1016\/j.media.2020.101814","journal-title":"Med Image Anal"},{"issue":"6","key":"846_CR44","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1016\/s0016-0032(39)90816-1","volume":"227","author":"H Dudley","year":"1939","unstructured":"Dudley H, Riesz RR, Watkins SSA (1939) A synthetic speaker. J Franklin Inst 227(6):739\u2013764. https:\/\/doi.org\/10.1016\/s0016-0032(39)90816-1","journal-title":"J Franklin Inst"},{"issue":"2","key":"846_CR45","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1121\/1.1906583","volume":"22","author":"H Dudley","year":"1950","unstructured":"Dudley H, Tarnoczy TH (1950) The speaking machine of Wolfgang von Kempelen. J Acoust Soc Am 22(2):151\u2013166. https:\/\/doi.org\/10.1121\/1.1906583","journal-title":"J Acoust Soc Am"},{"key":"846_CR46","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-5730-8","author":"T Dutoit","year":"1997","unstructured":"Dutoit T (1997) An introduction to text-to-speech synthesis. Springer, Netherlands, Dordrecht, Netherlands. https:\/\/doi.org\/10.1007\/978-94-011-5730-8","journal-title":"Springer, Netherlands, Dordrecht, Netherlands"},{"issue":"2","key":"846_CR47","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1109\/mpul.2016.2647018","volume":"8","author":"R Einhorn","year":"2017","unstructured":"Einhorn R (2017) Hearing aid technology for the 21st century: a proposal for universal wireless connectivity and improved sound quality. IEEE Pulse 8(2):25\u201328. https:\/\/doi.org\/10.1109\/mpul.2016.2647018","journal-title":"IEEE Pulse"},{"issue":"17","key":"846_CR48","doi-asserted-by":"publisher","first-page":"10049","DOI":"10.1073\/pnas.1730169100","volume":"100","author":"K Emmorey","year":"2003","unstructured":"Emmorey K, Allen JS, Bruss J, Schenker N, Damasio H (2003) A morphometric analysis of auditory brain regions in congenitally deaf adults. Proc Natl Acad Sci U S A 100(17):10049\u201310054. https:\/\/doi.org\/10.1073\/pnas.1730169100","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"3\u20134","key":"846_CR49","doi-asserted-by":"publisher","first-page":"179","DOI":"10.3109\/21678421.2015.1125499","volume":"17","author":"SH Felgoise","year":"2016","unstructured":"Felgoise SH, Zaccheo V, Duff J, Simmons Z (2016) Verbal communication impacts quality of life in patients with amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 17(3\u20134):179\u2013183. https:\/\/doi.org\/10.3109\/21678421.2015.1125499","journal-title":"Amyotroph Lateral Scler Frontotemporal Degener"},{"issue":"5","key":"846_CR50","doi-asserted-by":"publisher","first-page":"E1022","DOI":"10.1073\/pnas.1717603115","volume":"115","author":"G Feng","year":"2018","unstructured":"Feng G, Ingvalson EM, Grieco-Calub TM, Roberts MY, Ryan ME, Birmingham P, Burrowes D, Young NM, Wong PCM (2018) Neural preservation underlies speech improvement from auditory deprivation in young cochlear implant recipients. Proc Natl Acad Sci U S A 115(5):E1022\u2013E1031. https:\/\/doi.org\/10.1073\/pnas.1717603115","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"3","key":"846_CR51","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aa66dd","volume":"14","author":"L Fiedler","year":"2017","unstructured":"Fiedler L, W\u00f6stmann M, Graversen C, Brandmeyer A, Lunner T, Obleser J (2017) Single-channel in-ear-EEG detects the focus of auditory attention to concurrent tone streams and mixed speech. J Neural Eng 14(3):036020. https:\/\/doi.org\/10.1088\/1741-2552\/aa66dd","journal-title":"J Neural Eng"},{"key":"846_CR52","first-page":"373","volume-title":"Language production","author":"CA Fowler","year":"1980","unstructured":"Fowler CA, Rubin PE, Remez RE, Turvey MT (1980) Implications for speech production of a general theory of action. In: Butterworth B (ed) Language production. Academic Press, New York, pp 373\u2013420"},{"issue":"10","key":"846_CR53","doi-asserted-by":"publisher","first-page":"2451","DOI":"10.1162\/089976600300015015","volume":"12","author":"FA Gers","year":"2000","unstructured":"Gers FA, Schmidhuber J, Cummins F (2000) Learning to forget: continual prediction with LSTM. Neural Comput 12(10):2451\u20132471. https:\/\/doi.org\/10.1162\/089976600300015015","journal-title":"Neural Comput"},{"issue":"1","key":"846_CR54","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1179\/cim.2002.3.1.29","volume":"3","author":"K Gfeller","year":"2002","unstructured":"Gfeller K, Turner C, Mehr M, Woodworth G, Fearn R, Knutson JF, Witt S, Stordahl J (2002) Recognition of familiar melodies by adult cochlear implant recipients and normal-hearing adults. Cochlear Implants Int 3(1):29\u201353. https:\/\/doi.org\/10.1179\/cim.2002.3.1.29","journal-title":"Cochlear Implants Int"},{"key":"846_CR55","doi-asserted-by":"publisher","unstructured":"Ghosh PK, Narayanan SS (2011) A subject-independent acoustic-to-articulatory inversion. In: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Publications, pp 4624\u20134627. https:\/\/doi.org\/10.1109\/icassp.2011.5947385","DOI":"10.1109\/icassp.2011.5947385"},{"key":"846_CR56","doi-asserted-by":"publisher","unstructured":"Gold B, Morgan N, Ellis D (2011) Speech and audio signal processing: processing and perception of speech and music. 2nd edn. John Wiley & Sons, Inc. https:\/\/doi.org\/10.1002\/9781118142882","DOI":"10.1002\/9781118142882"},{"issue":"1","key":"846_CR57","doi-asserted-by":"publisher","first-page":"6948","DOI":"10.1038\/s41598-017-06925-2","volume":"7","author":"V Goverdovsky","year":"2017","unstructured":"Goverdovsky V, von Rosenberg W, Nakamura T, Looney D, Sharp DJ, Papavassiliou C, Morrell MJ, Mandic DP (2017) Hearables: multimodal physiological in-ear sensing. Sci Rep 7(1):6948. https:\/\/doi.org\/10.1038\/s41598-017-06925-2","journal-title":"Sci Rep"},{"key":"846_CR58","doi-asserted-by":"publisher","unstructured":"Graves A, Mohamed A-r, Hinton G (2013) Speech recognition with deep recurrent neural networks. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE Publications, pp 6645\u20136649. https:\/\/doi.org\/10.1109\/icassp.2013.6638947","DOI":"10.1109\/icassp.2013.6638947"},{"issue":"12","key":"846_CR59","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0008218","volume":"4","author":"FH Guenther","year":"2009","unstructured":"Guenther FH, Brumberg JS, Wright EJ, Nieto-Castanon A, Tourville JA, Panko M, Law R, Siebert SA, Bartels JL, Andreasen DS, Ehirim P, Mao H, Kennedy PR (2009) A wireless brain-machine interface for real-time speech synthesis. PLoS ONE 4(12):e8218. https:\/\/doi.org\/10.1371\/journal.pone.0008218","journal-title":"PLoS ONE"},{"issue":"3","key":"846_CR60","doi-asserted-by":"publisher","first-page":"1378","DOI":"10.1121\/1.5093547","volume":"145","author":"EW Healy","year":"2019","unstructured":"Healy EW, Delfarah M, Johnson EM, Wang D (2019) A deep learning algorithm to increase intelligibility for hearing-impaired listeners in the presence of a competing talker and reverberation. J Acoust Soc Am 145(3):1378. https:\/\/doi.org\/10.1121\/1.5093547","journal-title":"J Acoust Soc Am"},{"issue":"5","key":"846_CR61","doi-asserted-by":"publisher","first-page":"3976","DOI":"10.1121\/10.0007134","volume":"150","author":"EW Healy","year":"2021","unstructured":"Healy EW, Taherian H, Johnson EM, Wang D (2021) A causal and talker-independent speaker separation\/dereverberation deep learning algorithm: cost associated with conversion to real-time capable operation. J Acoust Soc Am 150(5):3976. https:\/\/doi.org\/10.1121\/10.0007134","journal-title":"J Acoust Soc Am"},{"issue":"6","key":"846_CR62","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1016\/S0899-7071(97)81731-7","volume":"21","author":"CI Henschke","year":"1997","unstructured":"Henschke CI, Yankelevitz DF, Mateescu I, Brettle DW, Rainey TG, Weingard FS (1997) Neural networks for the analysis of small pulmonary nodules. Clin Imaging 21(6):390\u2013399. https:\/\/doi.org\/10.1016\/S0899-7071(97)81731-7","journal-title":"Clin Imaging"},{"key":"846_CR63","doi-asserted-by":"publisher","first-page":"217","DOI":"10.3389\/fnins.2015.00217","volume":"9","author":"C Herff","year":"2015","unstructured":"Herff C, Heger D, de Pesters A, Telaar D, Brunner P, Schalk G, Schultz T (2015) Brain-to-text: decoding spoken phrases from phone representations in the brain. Front Neurosci 9:217. https:\/\/doi.org\/10.3389\/fnins.2015.00217","journal-title":"Front Neurosci"},{"key":"846_CR64","doi-asserted-by":"publisher","first-page":"429","DOI":"10.3389\/fnins.2016.00429","volume":"10","author":"C Herff","year":"2016","unstructured":"Herff C, Schultz T (2016) Automatic speech recognition from neural signals: a focused review. Front Neurosci 10:429. https:\/\/doi.org\/10.3389\/fnins.2016.00429","journal-title":"Front Neurosci"},{"key":"846_CR65","unstructured":"Hinton G (2021) How to represent part-whole hierarchies in a neural network. arXiv:2102.12627"},{"issue":"8","key":"846_CR66","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput 9(8):1735\u20131780. https:\/\/doi.org\/10.1162\/neco.1997.9.8.1735","journal-title":"Neural Comput"},{"issue":"1","key":"846_CR67","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1111\/ceo.13381","volume":"47","author":"DT Hogarty","year":"2019","unstructured":"Hogarty DT, Mackey DA, Hewitt AW (2019) Current state and future prospects of artificial intelligence in ophthalmology: a review. Clin Exp Ophthalmol 47(1):128\u2013139. https:\/\/doi.org\/10.1111\/ceo.13381","journal-title":"Clin Exp Ophthalmol"},{"issue":"4","key":"846_CR68","doi-asserted-by":"publisher","first-page":"532","DOI":"10.1109\/proc.1976.10159","volume":"64","author":"F Jelinek","year":"1976","unstructured":"Jelinek F (1976) Continuous speech recognition by statistical methods. Proc IEEE 64(4):532\u2013556. https:\/\/doi.org\/10.1109\/proc.1976.10159","journal-title":"Proc IEEE"},{"issue":"7","key":"846_CR69","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.7520","volume":"19","author":"L Jones","year":"2017","unstructured":"Jones L, Jacklin K, O\u2019Connell ME (2017) Development and use of health-related technologies in indigenous communities: critical review. J Med Internet Res 19(7):e256. https:\/\/doi.org\/10.2196\/jmir.7520","journal-title":"J Med Internet Res"},{"key":"846_CR70","doi-asserted-by":"publisher","unstructured":"Kanas VG, Mporas I, Benz HL, Sgarbas KN, Bezerianos A, Crone NE (2014) Real-time voice activity detection for ECoG-based speech brain machine interfaces. In: 2014 19th International Conference on Digital Signal Processing. IEEE Publications, pp 862\u2013865. https:\/\/doi.org\/10.1109\/icdsp.2014.6900790","DOI":"10.1109\/icdsp.2014.6900790"},{"key":"846_CR71","doi-asserted-by":"publisher","unstructured":"Kim S, Hori T, Watanabe S (2017) Joint CTC-attention based end-to-end speech recognition using multi-task learning. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Publications, pp 4835\u20134839. https:\/\/doi.org\/10.1109\/icassp.2017.7953075","DOI":"10.1109\/icassp.2017.7953075"},{"issue":"2","key":"846_CR72","doi-asserted-by":"publisher","first-page":"820","DOI":"10.1121\/1.398894","volume":"87","author":"DH Klatt","year":"1990","unstructured":"Klatt DH, Klatt LC (1990) Analysis, synthesis, and perception of voice quality variations among female and male talkers. J Acoust Soc Am 87(2):820\u2013857. https:\/\/doi.org\/10.1121\/1.398894","journal-title":"J Acoust Soc Am"},{"key":"846_CR73","doi-asserted-by":"publisher","unstructured":"Kneser R, Ney H (1995) Improved backing-off for M-gram language modeling. In: 1995 International Conference on Acoustics, Speech, and Signal Processing. IEEE Publications, pp 181\u2013184. https:\/\/doi.org\/10.1109\/icassp.1995.479394","DOI":"10.1109\/icassp.1995.479394"},{"issue":"4","key":"846_CR74","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1097\/01.hj.0000285745.08599.7f","volume":"60","author":"S Kochkin","year":"2007","unstructured":"Kochkin S (2007) MarkeTrak VII: obstacles to adult non-user adoption of hearing aids. The Hearing Journal 60(4):24\u201351. https:\/\/doi.org\/10.1097\/01.hj.0000285745.08599.7f","journal-title":"The Hearing Journal"},{"issue":"suppl 1","key":"846_CR75","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1159\/000481227","volume":"93","author":"Y Komeda","year":"2017","unstructured":"Komeda Y, Handa H, Watanabe T, Nomura T, Kitahashi M, Sakurai T, Okamoto A, Minami T, Kono M, Arizumi T, Takenaka M, Hagiwara S, Matsui S, Nishida N, Kashida H, Kudo M (2017) Computer-aided diagnosis based on convolutional neural network system for colorectal polyp classification: preliminary experience. Oncology 93(suppl 1):30\u201334. https:\/\/doi.org\/10.1159\/000481227","journal-title":"Oncology"},{"key":"846_CR76","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.csbj.2018.01.001","volume":"16","author":"D Komura","year":"2018","unstructured":"Komura D, Ishikawa S (2018) Machine learning methods for histopathological image analysis. Comput Struct Biotechnol J 16:34\u201342. https:\/\/doi.org\/10.1016\/j.csbj.2018.01.001","journal-title":"Comput Struct Biotechnol J"},{"issue":"6","key":"846_CR77","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1016\/S1474-4422(16)00034-X","volume":"15","author":"A Kral","year":"2016","unstructured":"Kral A, Kronenberger WG, Pisoni DB, O\u2019Donoghue GM (2016) Neurocognitive factors in sensory restoration of early deafness: a connectome model. Lancet Neurol 15(6):610\u2013621. https:\/\/doi.org\/10.1016\/S1474-4422(16)00034-X","journal-title":"Lancet Neurol"},{"key":"846_CR78","doi-asserted-by":"publisher","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) ImageNet classification with deep convolutional neural networks. In: Pereira F, Burges CJC, Bottou L, Weinberger KQ (eds) Advances in neural information processing systems, vol 25. Curran Associates, Inc., Red Hook, NY, pp 1097\u20131105. https:\/\/doi.org\/10.1145\/3065386","DOI":"10.1145\/3065386"},{"issue":"4","key":"846_CR79","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/s13312-011-0055-4","volume":"48","author":"R Kumar","year":"2011","unstructured":"Kumar R, Indrayan A (2011) Receiver operating characteristic (ROC) curve for medical researchers. Indian Pediatr 48(4):277\u2013287. https:\/\/doi.org\/10.1007\/s13312-011-0055-4","journal-title":"Indian Pediatr"},{"issue":"10","key":"846_CR80","doi-asserted-by":"publisher","first-page":"1950","DOI":"10.1002\/lary.21063","volume":"120","author":"K Laeeq","year":"2010","unstructured":"Laeeq K, Pandian V, Skinner M, Masood H, Stewart CM, Weatherly R, Cummings CW, Bhatti NI (2010) Learning curve for competency in flexible laryngoscopy. Laryngoscope 120(10):1950\u20131953. https:\/\/doi.org\/10.1002\/lary.21063","journal-title":"Laryngoscope"},{"issue":"1","key":"846_CR81","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/72.554195","volume":"8","author":"S Lawrence","year":"1997","unstructured":"Lawrence S, Giles CL, Ah Chung T, Back AD (1997) Face recognition: a convolutional neural-network approach. IEEE Trans Neural Netw 8(1):98\u2013113. https:\/\/doi.org\/10.1109\/72.554195","journal-title":"IEEE Trans Neural Netw"},{"issue":"7553","key":"846_CR82","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436\u2013444. https:\/\/doi.org\/10.1038\/nature14539","journal-title":"Nature"},{"issue":"4","key":"846_CR83","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.tins.2018.01.008","volume":"41","author":"NA Lesica","year":"2018","unstructured":"Lesica NA (2018) Why do hearing aids fail to restore normal auditory perception? Trends Neurosci 41(4):174\u2013185. https:\/\/doi.org\/10.1016\/j.tins.2018.01.008","journal-title":"Trends Neurosci"},{"issue":"10","key":"846_CR84","doi-asserted-by":"publisher","first-page":"840","DOI":"10.1038\/s42256-021-00394-z","volume":"3","author":"NA Lesica","year":"2021","unstructured":"Lesica NA, Mehta N, Manjaly JG, Deng L, Wilson BS, Zeng F-G (2021) Harnessing the power of artificial intelligence to transform hearing healthcare and research. Nat Mach Intell 3(10):840\u2013849. https:\/\/doi.org\/10.1038\/s42256-021-00394-z","journal-title":"Nat Mach Intell"},{"issue":"6","key":"846_CR85","doi-asserted-by":"publisher","first-page":"1171","DOI":"10.1109\/tasl.2009.2014796","volume":"17","author":"Z-H Ling","year":"2009","unstructured":"Ling Z-H, Richmond K, Yamagishi J, Wang R-H (2009) Integrating articulatory features into HMM-based parametric speech synthesis. IEEE Trans Audio Speech Lang Process 17(6):1171\u20131185. https:\/\/doi.org\/10.1109\/tasl.2009.2014796","journal-title":"IEEE Trans Audio Speech Lang Process"},{"key":"846_CR86","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fneur.2018.00603","volume":"9","author":"K Linse","year":"2018","unstructured":"Linse K, Aust E, Joos M, Hermann A (2018) Communication matters \u2013 pitfalls and promise of hightech communication devices in palliative care of severely physically disabled patients with amyotrophic lateral sclerosis. Front Neurol 9:1\u201318. https:\/\/doi.org\/10.3389\/fneur.2018.00603","journal-title":"Front Neurol"},{"issue":"9","key":"846_CR87","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1007091","volume":"15","author":"JA Livezey","year":"2019","unstructured":"Livezey JA, Bouchard KE, Chang EF (2019) Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex. PLoS Comput Biol 15(9):e1007091. https:\/\/doi.org\/10.1371\/journal.pcbi.1007091","journal-title":"PLoS Comput Biol"},{"key":"846_CR88","doi-asserted-by":"publisher","unstructured":"Loizou PC (2013) Speech enhancement: theory and practice. 2nd edn. CRC Press, Boca Raton, FL, USA. https:\/\/doi.org\/10.1201\/b14529","DOI":"10.1201\/b14529"},{"issue":"4","key":"846_CR89","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1093\/jcr\/ucz013","volume":"46","author":"C Longoni","year":"2019","unstructured":"Longoni C, Bonezzi A, Morewedge CK (2019) Resistance to medical artificial intelligence. J Consum Res 46(4):629\u2013650. https:\/\/doi.org\/10.1093\/jcr\/ucz013","journal-title":"J Consum Res"},{"issue":"49","key":"846_CR90","doi-asserted-by":"publisher","first-page":"18866","DOI":"10.1073\/pnas.0607364103","volume":"103","author":"C Lorenzi","year":"2006","unstructured":"Lorenzi C, Gilbert G, Carn H, Garnier S, Moore BC (2006) Speech perception problems of the hearing impaired reflect inability to use temporal fine structure. Proc Natl Acad Sci U S A 103(49):18866\u201318869. https:\/\/doi.org\/10.1073\/pnas.0607364103","journal-title":"Proc Natl Acad Sci U S A"},{"key":"846_CR91","doi-asserted-by":"publisher","first-page":"97","DOI":"10.3389\/fnhum.2015.00097","volume":"9","author":"F Lotte","year":"2015","unstructured":"Lotte F, Brumberg JS, Brunner P, Gunduz A, Ritaccio AL, Guan C, Schalk G (2015) Electrocorticographic representations of segmental features in continuous speech. Front Hum Neurosci 9:97. https:\/\/doi.org\/10.3389\/fnhum.2015.00097","journal-title":"Front Hum Neurosci"},{"key":"846_CR92","doi-asserted-by":"publisher","unstructured":"Luo Y, Mesgarani N (2018) TaSNet: time-domain audio separation network for real-time, single-channel speech separation. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp 696\u2013700. https:\/\/doi.org\/10.1109\/ICASSP.2018.8462116","DOI":"10.1109\/ICASSP.2018.8462116"},{"issue":"4","key":"846_CR93","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1038\/s41593-020-0608-8","volume":"23","author":"JG Makin","year":"2020","unstructured":"Makin JG, Moses DA, Chang EF (2020) Machine translation of cortical activity to text with an encoder\u2013decoder framework. Nat Neurosci 23(4):575\u2013582. https:\/\/doi.org\/10.1038\/s41593-020-0608-8","journal-title":"Nat Neurosci"},{"key":"846_CR94","doi-asserted-by":"publisher","first-page":"422","DOI":"10.3389\/fnins.2018.00422","volume":"12","author":"S Martin","year":"2018","unstructured":"Martin S, Iturrate I, Mill\u00e1n JDR, Knight RT, Pasley BN (2018) Decoding inner speech using electrocorticography: progress and challenges toward a speech prosthesis. Front Neurosci 12:422. https:\/\/doi.org\/10.3389\/fnins.2018.00422","journal-title":"Front Neurosci"},{"issue":"5","key":"846_CR95","doi-asserted-by":"publisher","first-page":"360","DOI":"10.3109\/14992027.2013.769066","volume":"52","author":"A McCormack","year":"2013","unstructured":"McCormack A, Fortnum H (2013) Why do people fitted with hearing aids not wear them? Int J Audiol 52(5):360\u2013368. https:\/\/doi.org\/10.3109\/14992027.2013.769066","journal-title":"Int J Audiol"},{"key":"846_CR96","doi-asserted-by":"publisher","unstructured":"Mecklenburger J, Groth T (2016) Wireless technologies and hearing aid connectivity. In: Popelka GR, Moore BCJ, Fay RR, Popper AN (eds) Hearing aids, vol 56. Springer Handbook of Auditory Research (SHAR). Springer International Publishing, Switzerland, pp 131\u2013149. https:\/\/doi.org\/10.1007\/978-3-319-33036-5_5","DOI":"10.1007\/978-3-319-33036-5_5"},{"issue":"Suppl 1","key":"846_CR97","doi-asserted-by":"publisher","first-page":"140S","DOI":"10.1097\/AUD.0000000000000961","volume":"41","author":"R Mehra","year":"2020","unstructured":"Mehra R, Brimijoin O, Robinson P, Lunner T (2020) Potential of augmented reality platforms to improve individual hearing aids and to support more ecologically valid research. Ear Hear 41(Suppl 1):140S-146S. https:\/\/doi.org\/10.1097\/AUD.0000000000000961","journal-title":"Ear Hear"},{"key":"846_CR98","doi-asserted-by":"publisher","unstructured":"Merzenich MM (2011) Michael M. Merzenich. In: Squire LR (ed) The history of neuroscience in autobiography, vol 7. Oxford University Press, Oxford, UK, pp 440\u2013476. https:\/\/doi.org\/10.1093\/acprof:oso\/9780195396133.003.0010","DOI":"10.1093\/acprof:oso\/9780195396133.003.0010"},{"key":"846_CR99","unstructured":"Michie D, Spiegelhalter DJ, Taylor CC (1994) Machine learning, neural and statistical classification. Ellis Horwood, New York, NY, USA. https:\/\/www1.maths.leeds.ac.uk\/~charles\/statlog\/whole.pdf"},{"key":"846_CR100","doi-asserted-by":"publisher","unstructured":"Mitra V, Sivaraman G, Bartels C, Nam H, Wang W, Espy-Wilson C, Vergyri D, Franco H (2017) Joint modeling of articulatory and acoustic spaces for continuous speech recognition tasks. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Publications, pp 5205\u20135209. https:\/\/doi.org\/10.1109\/icassp.2017.7953149","DOI":"10.1109\/icassp.2017.7953149"},{"issue":"1","key":"846_CR101","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1109\/tasl.2011.2109382","volume":"20","author":"A-r Mohamed","year":"2012","unstructured":"Mohamed A-r, Dahl GE, Hinton G (2012) Acoustic modeling using deep belief networks. IEEE Trans Audio Speech Lang Process 20(1):14\u201322. https:\/\/doi.org\/10.1109\/tasl.2011.2109382","journal-title":"IEEE Trans Audio Speech Lang Process"},{"issue":"3","key":"846_CR102","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1148\/radiol.2020201434","volume":"297","author":"DJ Mollura","year":"2020","unstructured":"Mollura DJ, Culp MP, Pollack E, Battino G, Scheel JR, Mango VL, Elahi A, Schweitzer A, Dako F (2020) Artificial intelligence in low- and middle-income countries: innovating global health radiology. Radiology 297(3):513\u2013520. https:\/\/doi.org\/10.1148\/radiol.2020201434","journal-title":"Radiology"},{"issue":"2","key":"846_CR103","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1097\/00003446-199604000-00007","volume":"17","author":"BCJ Moore","year":"1996","unstructured":"Moore BCJ (1996) Perceptual consequences of cochlear hearing loss and their implications for the design of hearing aids. Ear Hear 17(2):133\u2013161. https:\/\/doi.org\/10.1097\/00003446-199604000-00007","journal-title":"Ear Hear"},{"issue":"1","key":"846_CR104","doi-asserted-by":"publisher","first-page":"3096","DOI":"10.1038\/s41467-019-10994-4","volume":"10","author":"DA Moses","year":"2019","unstructured":"Moses DA, Leonard MK, Makin JG, Chang EF (2019) Real-time decoding of question-and-answer speech dialogue using human cortical activity. Nat Commun 10(1):3096. https:\/\/doi.org\/10.1038\/s41467-019-10994-4","journal-title":"Nat Commun"},{"issue":"3","key":"846_CR105","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1056\/nejmoa2027540","volume":"385","author":"DA Moses","year":"2021","unstructured":"Moses DA, Metzger SL, Liu JR, Anumanchipalli GK, Makin JG, Sun PF, Chartier J, Dougherty ME, Liu PM, Abrams GM, Tu-Chan A, Ganguly K, Chang EF (2021) Neuroprosthesis for decoding speech in a paralyzed person with anarthria. N Engl J Med 385(3):217\u2013227. https:\/\/doi.org\/10.1056\/nejmoa2027540","journal-title":"N Engl J Med"},{"issue":"3","key":"846_CR106","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/11\/3\/035015","volume":"11","author":"EM Mugler","year":"2014","unstructured":"Mugler EM, Patton JL, Flint RD, Wright ZA, Schuele SU, Rosenow J, Shih JJ, Krusienski DJ, Slutzky MW (2014) Direct classification of all American English phonemes using signals from functional speech motor cortex. J Neural Eng 11(3):035015. https:\/\/doi.org\/10.1088\/1741-2560\/11\/3\/035015","journal-title":"J Neural Eng"},{"key":"846_CR107","unstructured":"Nachmani E, Adi Y, Wolf L (2020) Voice separation with an unknown number of multiple speakers. In: Hal D, Iii, Aarti S (eds) Proceedings of the 37th International Conference on Machine Learning. Proc Mach Learn Res (PMLR) 119:7164\u20137175. https:\/\/proceedings.mlr.press\/v119\/nachmani20a.html"},{"issue":"19","key":"846_CR108","doi-asserted-by":"publisher","first-page":"4050","DOI":"10.3390\/app9194050","volume":"9","author":"Y Ning","year":"2019","unstructured":"Ning Y, He S, Wu Z, Xing C, Zhang L-J (2019) A review of deep learning based speech synthesis. Appl Sci 9(19):4050. https:\/\/doi.org\/10.3390\/app9194050","journal-title":"Appl Sci"},{"key":"846_CR109","doi-asserted-by":"publisher","unstructured":"Nip I, Roth CR (2017) Anarthria. In: Kreutzer J, Deluca J, Caplan B (eds) Encyclopedia of clinical neuropsychology. Springer International Publishing. https:\/\/doi.org\/10.1007\/978-3-319-56782-2_855-4","DOI":"10.1007\/978-3-319-56782-2_855-4"},{"issue":"15","key":"846_CR110","doi-asserted-by":"publisher","first-page":"1498","DOI":"10.1001\/jama.2010.451","volume":"303","author":"Niparko JK, Tobey EA, Thal DJ, Eisenberg LS, Wang N-Y, Quittner AL, Fink NE, Team CDI","year":"2010","unstructured":"Niparko JK, Tobey EA, Thal DJ, Eisenberg LS, Wang N-Y, Quittner AL, Fink NE, Team CDI (2010) Spoken language development in children following cochlear implantation. JAMA 303(15):1498\u20131506. https:\/\/doi.org\/10.1001\/jama.2010.451","journal-title":"JAMA"},{"key":"846_CR111","doi-asserted-by":"publisher","unstructured":"Nittrouer S, Caldwell-Tarr A (2016) Language and literacy skills in children with cochlear implants: past and present findings. In: Young NM, Kirk KI (eds) Pediatric cochlear implantation. Springer, New York, NY, pp 177\u2013197. https:\/\/doi.org\/10.1007\/978-1-4939-2788-3_11","DOI":"10.1007\/978-1-4939-2788-3_11"},{"key":"846_CR112","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2021.710329","volume":"8","author":"R Nuzzi","year":"2021","unstructured":"Nuzzi R, Boscia G, Marolo P, Ricardi F (2021) The impact of artificial intelligence and deep learning in eye diseases: a review. Front Med (lausanne) 8:710329. https:\/\/doi.org\/10.3389\/fmed.2021.710329","journal-title":"Front Med (lausanne)"},{"issue":"5","key":"846_CR113","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aa7ab4","volume":"14","author":"J O'Sullivan","year":"2017","unstructured":"O\u2019Sullivan J, Chen Z, Herrero J, McKhann GM, Sheth SA, Mehta AD, Mesgarani N (2017) Neural decoding of attentional selection in multi-speaker environments without access to clean sources. J Neural Eng 14(5):056001. https:\/\/doi.org\/10.1088\/1741-2552\/aa7ab4","journal-title":"J Neural Eng"},{"issue":"13","key":"846_CR114","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1056\/NEJMp1606181","volume":"375","author":"Z Obermeyer","year":"2016","unstructured":"Obermeyer Z, Emanuel EJ (2016) Predicting the future \u2013 big data, machine learning, and clinical medicine. N Engl J Med 375(13):1216\u20131219. https:\/\/doi.org\/10.1056\/NEJMp1606181","journal-title":"N Engl J Med"},{"key":"846_CR115","unstructured":"Oord A, van den D, Sander, Zen H, Simonyan K, Vinyals O, Graves A, Kalchbrenner N, Senior A, Kavukcuoglu K (2016) WaveNet: a generative model for raw audio.\u00a0http:\/\/arxiv.org\/abs\/1609.03499\u00a0(preprint)"},{"issue":"2","key":"846_CR116","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1136\/neurintsurg-2020-016862","volume":"13","author":"TJ Oxley","year":"2021","unstructured":"Oxley TJ, Yoo PE, Rind GS, Ronayne SM, Lee CMS, Bird C, Hampshire V, Sharma RP, Morokoff A, Williams DL, MacIsaac C, Howard ME, Irving L, Vrljic I, Williams C, John SE, Weissenborn F, Dazenko M, Balabanski AH, Friedenberg D, Burkitt AN, Wong YT, Drummond KJ, Desmond P, Weber D, Denison T, Hochberg LR, Mathers S, O\u2019Brien TJ, May CN, Mocco J, Grayden DB, Campbell BCV, Mitchell P, Opie NL (2021) Motor neuroprosthesis implanted with neurointerventional surgery improves capacity for activities of daily living tasks in severe paralysis: first in-human experience. J Neurointerv Surg 13(2):102\u2013108. https:\/\/doi.org\/10.1136\/neurintsurg-2020-016862","journal-title":"J Neurointerv Surg"},{"key":"846_CR117","doi-asserted-by":"publisher","unstructured":"Pandarinath C, Nuyujukian P, Blabe CH, Sorice BL, Saab J, Willett FR, Hochberg LR, Shenoy KV, Henderson JM (2017) High performance communication by people with paralysis using an intracortical brain-computer interface. eLife 6:e18554. https:\/\/doi.org\/10.7554\/elife.18554","DOI":"10.7554\/elife.18554"},{"issue":"1","key":"846_CR118","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.cortex.2010.04.006","volume":"48","author":"C Pendleton","year":"2012","unstructured":"Pendleton C, Zaidi HA, Chaichana KL, Raza SM, Carson BS, Cohen-Gadol AA, Quinones-Hinojosa A (2012) Harvey Cushing\u2019s contributions to motor mapping: 1902\u20131912. Cortex 48(1):7\u201314. https:\/\/doi.org\/10.1016\/j.cortex.2010.04.006","journal-title":"Cortex"},{"issue":"4","key":"846_CR119","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1093\/brain\/60.4.389","volume":"60","author":"W Penfield","year":"1937","unstructured":"Penfield W, Boldrey E (1937) Somatic motor and sensory representation in the cerebral cortex of man as studied by electrical stimulation. Brain 60(4):389\u2013443. https:\/\/doi.org\/10.1093\/brain\/60.4.389","journal-title":"Brain"},{"key":"846_CR120","volume-title":"The cerebral cortex of man: clinical study of localization of function","author":"W Penfield","year":"1950","unstructured":"Penfield W, Rasmussen T (1950) The cerebral cortex of man: clinical study of localization of function. Macmillan, New York, NY"},{"issue":"1","key":"846_CR121","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1121\/1.3593366","volume":"130","author":"TK Perrachione","year":"2011","unstructured":"Perrachione TK, Lee J, Ha LYY, Wong PCM (2011) Learning a novel phonological contrast depends on interactions between individual differences and training paradigm design. J Acoust Soc Am 130(1):461\u2013472. https:\/\/doi.org\/10.1121\/1.3593366","journal-title":"J Acoust Soc Am"},{"key":"846_CR122","unstructured":"Perret E (2017) Here\u2019s how many photos will be taken in 2017. Tech Today. https:\/\/focus.mylio.com\/tech-today\/heres-how-many-digital-photos-will-be-taken-in-2017-repost-oct"},{"issue":"2","key":"846_CR123","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/abda0b","volume":"18","author":"SM Peterson","year":"2021","unstructured":"Peterson SM, Steine-Hanson Z, Davis N, Rao RPN, Brunton BW (2021) Generalized neural decoders for transfer learning across participants and recording modalities. J Neural Eng 18(2):026014. https:\/\/doi.org\/10.1088\/1741-2552\/abda0b","journal-title":"J Neural Eng"},{"key":"846_CR124","unstructured":"Pratt LU, Mostow J, Kamm CA (1991) Direct transfer of learned information among neural networks. In: Ninth National Conference on Artificail Intelligence. AAAI Press, Menlo Park, CA, pp 584\u2013589. https:\/\/www.aaai.org\/Papers\/AAAI\/1991\/AAAI91-091.pdf"},{"issue":"1","key":"846_CR125","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1007\/s13311-018-00692-2","volume":"16","author":"Q Rabbani","year":"2019","unstructured":"Rabbani Q, Milsap G, Crone NE (2019) The potential for a speech brain-computer interface using chronic electrocorticography. Neurotherapeutics 16(1):144\u2013165. https:\/\/doi.org\/10.1007\/s13311-018-00692-2","journal-title":"Neurotherapeutics"},{"key":"846_CR126","doi-asserted-by":"publisher","unstructured":"Ren J, Jing X, Wang J, Ren X, Xu Y, Yang Q, Ma L, Sun Y, Xu W, Yang N, Zou J, Zheng Y, Chen M, Gan W, Xiang T, An J, Liu R, Lv C, Lin K, Zheng X, Lou F, Rao Y, Yang H, Liu K, Liu G, Lu T, Zheng X, Zhao Y (2020) Automatic recognition of laryngoscopic images using a deep-learning technique. Laryngoscope 130(11). https:\/\/doi.org\/10.1002\/lary.28539","DOI":"10.1002\/lary.28539"},{"issue":"12","key":"846_CR127","doi-asserted-by":"publisher","first-page":"2292","DOI":"10.1109\/taslp.2017.2758164","volume":"25","author":"A Rezazadeh Sereshkeh","year":"2017","unstructured":"Rezazadeh Sereshkeh A, Trott R, Bricout A, Chau T (2017) EEG classification of covert speech using regularized neural networks. IEEE Trans Audio Speech Lang Process 25(12):2292\u20132300. https:\/\/doi.org\/10.1109\/taslp.2017.2758164","journal-title":"IEEE Trans Audio Speech Lang Process"},{"key":"846_CR128","unstructured":"Richmond K (2002) Estimating articulatory parameters from the acoustic speech signal. Ph.D. dissertation, University of Edinburgh"},{"issue":"1","key":"846_CR129","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1044\/2018_JSLHR-L-18-0079","volume":"62","author":"MY Roberts","year":"2019","unstructured":"Roberts MY (2019) Parent-implemented communication treatment for infants and toddlers with hearing loss: a randomized pilot trial. J Speech Lang Hear Res 62(1):143\u2013152. https:\/\/doi.org\/10.1044\/2018_JSLHR-L-18-0079","journal-title":"J Speech Lang Hear Res"},{"key":"846_CR130","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1186\/s13023-015-0304-z","volume":"10","author":"M-C Rousseau","year":"2015","unstructured":"Rousseau M-C, Baumstarck K, Alessandrini M, Blandin V, Billette de Villemeur T, Auquier P (2015) Quality of life in patients with locked-in syndrome: evolution over a 6-year period. Orphanet J Rare Dis 10:88. https:\/\/doi.org\/10.1186\/s13023-015-0304-z","journal-title":"Orphanet J Rare Dis"},{"issue":"9","key":"846_CR131","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s11920-021-01274-4","volume":"23","author":"SA Saeed","year":"2021","unstructured":"Saeed SA, Masters RM (2021) Disparities in health care and the digital divide. Curr Psychiatry Rep 23(9):61. https:\/\/doi.org\/10.1007\/s11920-021-01274-4","journal-title":"Curr Psychiatry Rep"},{"issue":"1","key":"846_CR132","doi-asserted-by":"publisher","first-page":"14165","DOI":"10.1038\/s41598-019-50834-5","volume":"9","author":"E Salari","year":"2019","unstructured":"Salari E, Freudenburg ZV, Branco MP, Aarnoutse EJ, Vansteensel MJ, Ramsey NF (2019) Classification of articulator movements and movement direction from sensorimotor cortex activity. Sci Rep 9(1):14165\u201314165. https:\/\/doi.org\/10.1038\/s41598-019-50834-5","journal-title":"Sci Rep"},{"issue":"3","key":"846_CR133","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1007\/s42979-021-00592-x","volume":"2","author":"IH Sarker","year":"2021","unstructured":"Sarker IH (2021) Machine learning: algorithms, real-world applications and research directions. SN Comput Sci 2(3):160. https:\/\/doi.org\/10.1007\/s42979-021-00592-x","journal-title":"SN Comput Sci"},{"issue":"8","key":"846_CR134","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1009298","volume":"17","author":"N Schaworonkow","year":"2021","unstructured":"Schaworonkow N, Voytek B (2021) Enhancing oscillations in intracranial electrophysiological recordings with data-driven spatial filters. PLoS Comput Biol 17(8):e1009298. https:\/\/doi.org\/10.1371\/journal.pcbi.1009298","journal-title":"PLoS Comput Biol"},{"issue":"1","key":"846_CR135","doi-asserted-by":"publisher","first-page":"5193","DOI":"10.1038\/s41598-021-84698-5","volume":"11","author":"J Scheetz","year":"2021","unstructured":"Scheetz J, Rothschild P, McGuinness M, Hadoux X, Soyer HP, Janda M, Condon JJJ, Oakden-Rayner L, Palmer LJ, Keel S, van Wijngaarden P (2021) A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology. Sci Rep 11(1):5193. https:\/\/doi.org\/10.1038\/s41598-021-84698-5","journal-title":"Sci Rep"},{"issue":"1","key":"846_CR136","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/0093-934x(87)90058-7","volume":"31","author":"PW Sch\u00f6nle","year":"1987","unstructured":"Sch\u00f6nle PW, Gr\u00e4be K, Wenig P, H\u00f6hne J, Schrader J, Conrad B (1987) Electromagnetic articulography: use of alternating magnetic fields for tracking movements of multiple points inside and outside the vocal tract. Brain Lang 31(1):26\u201335. https:\/\/doi.org\/10.1016\/0093-934x(87)90058-7","journal-title":"Brain Lang"},{"key":"846_CR137","doi-asserted-by":"publisher","unstructured":"Sellers EW, Ryan DB, Hauser CK (2014) Noninvasive brain-computer interface enables communication after brainstem stroke. Sci Transl Med 6(257):257re257. https:\/\/doi.org\/10.1126\/scitranslmed.3007801","DOI":"10.1126\/scitranslmed.3007801"},{"key":"846_CR138","doi-asserted-by":"publisher","unstructured":"Shen J, Pang R, Weiss RJ, Schuster M, Jaitly N, Yang Z, Chen Z, Zhang Y, Wang Y, Skerrv-Ryan R, Saurous RA, Agiomvrgiannakis Y, Wu Y (2018) Natural TTS synthesis by conditioning wavenet on MEL spectrogram predictions. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Publications, pp 4779\u20134783. https:\/\/doi.org\/10.1109\/icassp.2018.8461368","DOI":"10.1109\/icassp.2018.8461368"},{"key":"846_CR139","unstructured":"Shibata DK (2007) Differences in brain structure in deaf persons on MR imaging studied with voxel-based morphometry. Am J Neuroradiol 28(2):243\u2013249. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/17296987"},{"key":"846_CR140","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.ebiom.2017.10.014","volume":"25","author":"S Shichijo","year":"2017","unstructured":"Shichijo S, Nomura S, Aoyama K, Nishikawa Y, Miura M, Shinagawa T, Takiyama H, Tanimoto T, Ishihara S, Matsuo K, Tada T (2017) Application of convolutional neural networks in the diagnosis of helicobacter pylori infection based on endoscopic images. EBioMedicine 25:106\u2013111. https:\/\/doi.org\/10.1016\/j.ebiom.2017.10.014","journal-title":"EBioMedicine"},{"issue":"Supplement 1","key":"846_CR141","doi-asserted-by":"publisher","first-page":"131S","DOI":"10.1097\/aud.0000000000000955","volume":"41","author":"M Slaney","year":"2020","unstructured":"Slaney M, Lyon RF, Garcia R, Kemler B, Gnegy C, Wilson K, Kanevsky D, Savla S, Cerf VG (2020) Auditory measures for the next billion users. Ear Hear 41(Supplement 1):131S-139S. https:\/\/doi.org\/10.1097\/aud.0000000000000955","journal-title":"Ear Hear"},{"issue":"5","key":"846_CR142","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1093\/cercor\/bhq164","volume":"21","author":"KM Smith","year":"2011","unstructured":"Smith KM, Mecoli MD, Altaye M, Komlos M, Maitra R, Eaton KP, Egelhoff JC, Holland SK (2011) Morphometric differences in the Heschl\u2019s gyrus of hearing impaired and normal hearing infants. Cereb Cortex 21(5):991\u2013998. https:\/\/doi.org\/10.1093\/cercor\/bhq164","journal-title":"Cereb Cortex"},{"key":"846_CR143","unstructured":"Sollich P, Krogh A (1996) Learning with ensembles: how overfitting can be useful. In: Touretzky DS, Mozer MC, Hasselmo ME (eds) Advances in neural information processing systems 8. MIT Press, Cambridge, MA, pp 190\u2013196. http:\/\/papers.nips.cc\/paper\/1044-learning-with-ensembles-how-overfitting-can-be-useful.pdf"},{"issue":"6","key":"846_CR144","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/abc742","volume":"17","author":"P Sun","year":"2020","unstructured":"Sun P, Anumanchipalli GK, Chang EF (2020) Brain2Char: a deep architecture for decoding text from brain recordings. J Neural Eng 17(6):066015. https:\/\/doi.org\/10.1088\/1741-2552\/abc742","journal-title":"J Neural Eng"},{"key":"846_CR145","doi-asserted-by":"publisher","unstructured":"Szegedy C, Wei L, Yangqing J, Sermanet P, Reed S, Anguelov D, Erhan D, Vanhoucke V, Rabinovich A (2015) Going deeper with convolutions. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Publications, pp 1\u20139. https:\/\/doi.org\/10.1109\/cvpr.2015.7298594","DOI":"10.1109\/cvpr.2015.7298594"},{"issue":"1","key":"846_CR146","doi-asserted-by":"publisher","first-page":"7497","DOI":"10.1038\/s41598-018-25842-6","volume":"8","author":"H Takiyama","year":"2018","unstructured":"Takiyama H, Ozawa T, Ishihara S, Fujishiro M, Shichijo S, Nomura S, Miura M, Tada T (2018) Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks. Sci Rep 8(1):7497. https:\/\/doi.org\/10.1038\/s41598-018-25842-6","journal-title":"Sci Rep"},{"key":"846_CR147","doi-asserted-by":"publisher","first-page":"53","DOI":"10.3389\/frai.2020.00053","volume":"3","author":"EL Troncoso","year":"2020","unstructured":"Troncoso EL (2020) The greatest challenge to using AI\/ML for primary health care: mindset or datasets? Front Artif Intell 3:53. https:\/\/doi.org\/10.3389\/frai.2020.00053","journal-title":"Front Artif Intell"},{"issue":"21","key":"846_CR148","doi-asserted-by":"publisher","first-page":"2060","DOI":"10.1056\/NEJMoa1608085","volume":"375","author":"MJ Vansteensel","year":"2016","unstructured":"Vansteensel MJ, Pels EGM, Bleichner MG, Branco MP, Denison T, Freudenburg ZV, Gosselaar P, Leinders S, Ottens TH, Van Den Boom MA, Van Rijen PC, Aarnoutse EJ, Ramsey NF (2016) Fully implanted brain-computer interface in a locked-in patient with ALS. N Engl J Med 375(21):2060\u20132066. https:\/\/doi.org\/10.1056\/NEJMoa1608085","journal-title":"N Engl J Med"},{"key":"846_CR149","doi-asserted-by":"publisher","first-page":"233121651773408","DOI":"10.1177\/2331216517734088","volume":"21","author":"V Vas","year":"2017","unstructured":"Vas V, Akeroyd MA, Hall DA (2017) A data-driven synthesis of research evidence for domains of hearing loss, as reported by adults with hearing loss and their communication partners. Trend Hear 21:2331216517734088. https:\/\/doi.org\/10.1177\/2331216517734088","journal-title":"Trend Hear"},{"issue":"2","key":"846_CR150","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1109\/tit.1967.1054010","volume":"13","author":"A Viterbi","year":"1967","unstructured":"Viterbi A (1967) Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Trans Inf Theory 13(2):260\u2013269. https:\/\/doi.org\/10.1109\/tit.1967.1054010","journal-title":"IEEE Trans Inf Theory"},{"key":"846_CR151","doi-asserted-by":"publisher","unstructured":"von Kempelen W (1791) Mechanismus der menschlichen sprache nebst beschreibung einer sprechenden maschine. J. B. Degan, Vienna, Austria. https:\/\/doi.org\/10.6083\/sx61dm64r","DOI":"10.6083\/sx61dm64r"},{"issue":"3","key":"846_CR152","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1109\/MSPEC.2017.7864754","volume":"54","author":"D Wang","year":"2017","unstructured":"Wang D (2017) Deep learning reinvents the hearing aid: finally, wearers of hearing aids can pick out a voice in a crowded room. IEEE Spectr 54(3):32\u201337. https:\/\/doi.org\/10.1109\/MSPEC.2017.7864754","journal-title":"IEEE Spectr"},{"key":"846_CR153","unstructured":"Wang D, Khosla A, Gargeya R, Irshad H, Beck AH (2016) Deep learning for identifying metastatic breast cancer.\u00a0https:\/\/arxiv.org\/abs\/1606.05718"},{"issue":"8","key":"846_CR154","doi-asserted-by":"publisher","first-page":"1018","DOI":"10.3390\/sym11081018","volume":"11","author":"D Wang","year":"2019","unstructured":"Wang D, Wang X, Lv S (2019) An overview of end-to-end automatic speech recognition. Symmetry 11(8):1018. https:\/\/doi.org\/10.3390\/sym11081018","journal-title":"Symmetry"},{"issue":"2","key":"846_CR155","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1097\/MAO.0b013e3181627a37","volume":"29","author":"Wang N-Y, Eisenberg LS, Johnson KC, Fink NE, Tobey EA, Quittner AL, Niparko JK, Team CDI","year":"2008","unstructured":"Wang N-Y, Eisenberg LS, Johnson KC, Fink NE, Tobey EA, Quittner AL, Niparko JK, Team CDI (2008) Tracking development of speech recognition: longitudinal data from hierarchical assessments in the Childhood Development after Cochlear Implantation Study. Otol Neurotol 29(2):240\u2013245. https:\/\/doi.org\/10.1097\/MAO.0b013e3181627a37","journal-title":"Otol Neurotol"},{"key":"846_CR156","doi-asserted-by":"publisher","unstructured":"Wang Y, Skerry-Ryan RJ, Stanton D, Wu Y, Weiss RJ, Jaitly N, Yang Z, Xiao Y, Chen Z, Bengio S, Le Q, Agiomyrgiannakis Y, Clark R, Saurous RA (2017) Tacotron: towards end-to-end speech synthesis. In: Proc. Interspeech 2017. International Speech Communication Association (ISCA), Grenoble, France, pp 4006\u20134010. https:\/\/doi.org\/10.21437\/interspeech.2017-1452","DOI":"10.21437\/interspeech.2017-1452"},{"issue":"6","key":"846_CR157","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1097\/aud.0000000000001041","volume":"42","author":"J-WA Wasmann","year":"2021","unstructured":"Wasmann J-WA, Lanting CP, Huinck WJ, Mylanus EAM, van der Laak JWM, Govaerts PJ, Swanepoel DW, Moore DR, Barbour DL (2021) Computational audiology: new approaches to advance hearing health care in the digital age. Ear Hear 42(6):1499\u20131507. https:\/\/doi.org\/10.1097\/aud.0000000000001041","journal-title":"Ear Hear"},{"key":"846_CR158","doi-asserted-by":"publisher","unstructured":"Watanabe S, Delcroix M, Metze F, Hershey JR Eds (2017) New era for robust speech recognition: exploiting deep learning Springer-Verlag Berlin https:\/\/doi.org\/10.1007\/978-3-319-64680-0","DOI":"10.1007\/978-3-319-64680-0"},{"issue":"7858","key":"846_CR159","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1038\/s41586-021-03506-2","volume":"593","author":"FR Willett","year":"2021","unstructured":"Willett FR, Avansino DT, Hochberg LR, Henderson JM, Shenoy KV (2021) High-performance brain-to-text communication via handwriting. Nature 593(7858):249\u2013254. https:\/\/doi.org\/10.1038\/s41586-021-03506-2","journal-title":"Nature"},{"key":"846_CR160","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2021.553987","volume":"4","author":"D Williams","year":"2021","unstructured":"Williams D, Hornung H, Nadimpalli A, Peery A (2021) Deep learning and its application for healthcare delivery in low and middle income countries. Front Artif Intell 4:553987. https:\/\/doi.org\/10.3389\/frai.2021.553987","journal-title":"Front Artif Intell"},{"key":"846_CR161","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/B978-0-444-53815-4.00012-1","volume":"194","author":"BS Wilson","year":"2011","unstructured":"Wilson BS, Dorman MF, Woldorff MG, Tucci DL (2011) Cochlear implants: matching the prosthesis to the brain and facilitating desired plastic changes in brain function. Prog Brain Res 194:117\u2013129. https:\/\/doi.org\/10.1016\/B978-0-444-53815-4.00012-1","journal-title":"Prog Brain Res"},{"issue":"10278","key":"846_CR162","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1016\/s0140-6736(21)00522-5","volume":"397","author":"BS Wilson","year":"2021","unstructured":"Wilson BS, Tucci DL (2021) Addressing the global burden of hearing loss. Lancet 397(10278):945\u2013947. https:\/\/doi.org\/10.1016\/s0140-6736(21)00522-5","journal-title":"Lancet"},{"issue":"6","key":"846_CR163","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1016\/s1388-2457(02)00057-3","volume":"113","author":"JR Wolpaw","year":"2002","unstructured":"Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM (2002) Brain\u2013computer interfaces for communication and control. Clin Neurophysiol 113(6):767\u2013791. https:\/\/doi.org\/10.1016\/s1388-2457(02)00057-3","journal-title":"Clin Neurophysiol"},{"issue":"10","key":"846_CR164","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1002\/hbm.20330","volume":"28","author":"PCM Wong","year":"2007","unstructured":"Wong PCM, Perrachione TK, Parrish TB (2007) Neural characteristics of successful and less successful speech and word learning in adults. Hum Brain Mapp 28(10):995\u20131006. https:\/\/doi.org\/10.1002\/hbm.20330","journal-title":"Hum Brain Mapp"},{"key":"846_CR165","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.neuropsychologia.2016.10.002","volume":"98","author":"PCM Wong","year":"2017","unstructured":"Wong PCM, Vuong LC, Liu K (2017) Personalized learning: from neurogenetics of behaviors to designing optimal language training. Neuropsychologia 98:192\u2013200. https:\/\/doi.org\/10.1016\/j.neuropsychologia.2016.10.002","journal-title":"Neuropsychologia"},{"issue":"10","key":"846_CR166","doi-asserted-by":"publisher","first-page":"1442","DOI":"10.1016\/j.ijporl.2012.06.019","volume":"76","author":"NM Young","year":"2012","unstructured":"Young NM, Kim FM, Ryan ME, Tournis E, Yaras S (2012) Pediatric cochlear implantation of children with eighth nerve deficiency. Int J Pediatr Otorhinolaryngol 76(10):1442\u20131448. https:\/\/doi.org\/10.1016\/j.ijporl.2012.06.019","journal-title":"Int J Pediatr Otorhinolaryngol"},{"issue":"7","key":"846_CR167","doi-asserted-by":"publisher","first-page":"1562","DOI":"10.1016\/j.cell.2018.05.056","volume":"173","author":"MK Yu","year":"2018","unstructured":"Yu MK, Ma J, Fisher J, Kreisberg JF, Raphael BJ, Ideker T (2018) Visible machine learning for biomedicine. Cell 173(7):1562\u20131565. https:\/\/doi.org\/10.1016\/j.cell.2018.05.056","journal-title":"Cell"},{"key":"846_CR168","doi-asserted-by":"publisher","unstructured":"Ze H, Senior A, Schuster M (2013) Statistical parametric speech synthesis using deep neural networks. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE Publications, pp 7962\u20137966. https:\/\/doi.org\/10.1109\/icassp.2013.6639215","DOI":"10.1109\/icassp.2013.6639215"},{"issue":"8","key":"846_CR169","doi-asserted-by":"publisher","first-page":"1662","DOI":"10.1109\/TBME.2017.2718939","volume":"64","author":"F-G Zeng","year":"2017","unstructured":"Zeng F-G (2017) Challenges in improving cochlear implant performance and accessibility. IEEE Trans Biomed Eng 64(8):1662\u20131664. https:\/\/doi.org\/10.1109\/TBME.2017.2718939","journal-title":"IEEE Trans Biomed Eng"},{"key":"846_CR170","doi-asserted-by":"publisher","unstructured":"Zhang Y, Chan W, Jaitly N (2017) Very deep convolutional networks for end-to-end speech recognition. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Publications, pp 4845\u20134849. https:\/\/doi.org\/10.1109\/icassp.2017.7953077","DOI":"10.1109\/icassp.2017.7953077"}],"container-title":["Journal of the Association for Research in Otolaryngology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10162-022-00846-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10162-022-00846-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10162-022-00846-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,9]],"date-time":"2022-05-09T16:24:50Z","timestamp":1652113490000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10162-022-00846-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,20]]},"references-count":170,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["846"],"URL":"https:\/\/doi.org\/10.1007\/s10162-022-00846-2","relation":{},"ISSN":["1525-3961","1438-7573"],"issn-type":[{"value":"1525-3961","type":"print"},{"value":"1438-7573","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,20]]},"assertion":[{"value":"16 December 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 April 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 April 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}},{"value":"This article was prepared while Geoffrey S Ginsburg was employed at Duke University. The opinions expressed in this article are the author\u2019s own and do not reflect the view of the National Institutes of Health, the Department of Health and Human Services, or the United States government. Dr. Ginsburg\u2019s current contact information is Geoffrey S Ginsburg MD PhD, All of Us Research Program, National Institutes of Health, Bethesda, MD 20892, USA. He remains as an Adjunct Professor at Duke and his Duke email address is still active.Additionally, and as mentioned previously, Debara L Tucci served as the Co-Chair for the symposium as one of her activities as an Adjunct Professor at Duke. She also was and is the Director of the NIDCD, and, like Dr. Ginsberg, her opinions expressed in this article are her own and do not reflect the view of the National Institutes of Health, the Department of Health and Human Services, or the United States government. Dr. Tucci\u2019s address at the NIH is Debara L. Tucci MD MS MBA, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, 31 Center Drive, Room 3C02G, Bethesda, MD 20892, USA.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclaimers"}},{"value":"Dr. Hannah Kavookjian is now at Johns Hopkins University and her current email address and contact information are hkavook1@jhu.edu and Hannah Kavookjian MD, The Johns Hopkins Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Change of Institution"}}]}}