{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T03:07:23Z","timestamp":1773457643938,"version":"3.50.1"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030835262","type":"print"},{"value":"9783030835279","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-83527-9_37","type":"book-chapter","created":{"date-parts":[[2021,8,29]],"date-time":"2021-08-29T23:04:59Z","timestamp":1630278299000},"page":"435-447","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Is There Any Additional Information in\u00a0a\u00a0Neural Network Trained for\u00a0Pathological Speech Classification?"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0174-1452","authenticated-orcid":false,"given":"C. D.","family":"Rios-Urrego","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4946-9232","authenticated-orcid":false,"given":"J. C.","family":"V\u00e1squez-Correa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8507-0782","authenticated-orcid":false,"given":"J. R.","family":"Orozco-Arroyave","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3396-555X","authenticated-orcid":false,"given":"E.","family":"N\u00f6th","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,30]]},"reference":[{"key":"37_CR1","doi-asserted-by":"crossref","unstructured":"Arias-Vergara, T., et al.: Automatic detection of voice onset time in voiceless plosives using gated recurrent units. Digital Signal Process. 104, 102779 (2020)","DOI":"10.1016\/j.dsp.2020.102779"},{"key":"37_CR2","doi-asserted-by":"crossref","unstructured":"Bocklet, T., et al.: Automatic evaluation of parkinson\u2019s speech-acoustic, prosodic and voice related cues. In: Proceedings of INTERSPEECH, pp. 1149\u20131153 (2013)","DOI":"10.21437\/Interspeech.2013-313"},{"issue":"2","key":"37_CR3","first-page":"3311","volume":"17","author":"A Caliskan","year":"2017","unstructured":"Caliskan, A., et al.: Diagnosis of the parkinson disease by using deep neural network classifier. Istanbul University J. Electr. Electron. Eng. 17(2), 3311\u20133318 (2017)","journal-title":"Istanbul University J. Electr. Electron. Eng."},{"issue":"15","key":"37_CR4","doi-asserted-by":"publisher","first-page":"2129","DOI":"10.1002\/mds.22340","volume":"23","author":"CG Goetz","year":"2008","unstructured":"Goetz, C.G., et al.: Movement Disorder Society-sponsored revision of the Unified Parkinson\u2019s Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results. Mov. Disord. 23(15), 2129\u20132170 (2008)","journal-title":"Mov. Disord."},{"key":"37_CR5","doi-asserted-by":"crossref","unstructured":"Gr\u00f3sz, T., et al.: Assessing the degree of nativeness and parkinson\u2019s condition using gaussian processes and deep rectifier neural networks. In: Proceedings of INTERSPEECH (2015)","DOI":"10.21437\/Interspeech.2015-195"},{"key":"37_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1007\/978-3-319-46493-0_38","volume-title":"Computer Vision \u2013 ECCV 2016","author":"K He","year":"2016","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Identity mappings in deep residual networks. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9908, pp. 630\u2013645. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46493-0_38"},{"issue":"4","key":"37_CR7","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1136\/jnnp.2007.131045","volume":"79","author":"J Jankovic","year":"2008","unstructured":"Jankovic, J.: Parkinson\u2019s disease: clinical features and diagnosis. J. Neurol. Neurosurge. Psychiatry 79(4), 368\u2013376 (2008)","journal-title":"J. Neurol. Neurosurge. Psychiatry"},{"key":"37_CR8","doi-asserted-by":"crossref","unstructured":"Mallela, J., et al.: Voice based classification of patients with amyotrophic lateral sclerosis, parkinson\u2019s disease and healthy controls with CNN-LSTM using transfer learning. In: Proceedings of ICASSP, pp. 6784\u20136788. IEEE (2020)","DOI":"10.1109\/ICASSP40776.2020.9053682"},{"issue":"1","key":"37_CR9","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.parkreldis.2007.05.009","volume":"14","author":"A McKinlay","year":"2008","unstructured":"McKinlay, A., et al.: A profile of neuropsychiatric problems and their relationship to quality of life for parkinson\u2019s disease patients without dementia. Parkinsonism Related Disorders 14(1), 37\u201342 (2008)","journal-title":"Parkinsonism Related Disorders"},{"key":"37_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.101818","volume":"57","author":"M Novotn\u00fd","year":"2020","unstructured":"Novotn\u00fd, M., et al.: Glottal source analysis of voice deficits in newly diagnosed drug-na\u00efve patients with parkinson\u2019s disease: Correlation between acoustic speech characteristics and non-speech motor performance. Biomed. Signal Process. Control 57, 101818 (2020)","journal-title":"Biomed. Signal Process. Control"},{"key":"37_CR11","unstructured":"Orozco-Arroyave, J.R., et al.: New Spanish speech corpus database for the analysis of people suffering from parkinson\u2019s disease. In: Proceedings of LREC, pp. 342\u2013347 (2014)"},{"issue":"3","key":"37_CR12","doi-asserted-by":"crossref","first-page":"137","DOI":"10.2217\/nmt-2019-0037","volume":"10","author":"JR Orozco-Arroyave","year":"2020","unstructured":"Orozco-Arroyave, J.R., et al.: Apkinson: the smartphone application for telemonitoring parkinson\u2019s patients through speech, gait and hands movement. Neurodegenerative Dis. Manage. 10(3), 137\u2013157 (2020)","journal-title":"Neurodegenerative Dis. Manage."},{"key":"37_CR13","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1007\/978-3-030-58323-1_36","volume-title":"Text, Speech, and Dialogue","author":"CD Rios-Urrego","year":"2020","unstructured":"Rios-Urrego, C.D., V\u00e1squez-Correa, J.C., Orozco-Arroyave, J.R., N\u00f6th, E.: Transfer learning to detect parkinson\u2019s disease from speech in different languages using convolutional neural networks with layer freezing. In: Sojka, P., Kope\u010dek, I., Pala, K., Hor\u00e1k, A. (eds.) TSD 2020. LNCS (LNAI), vol. 12284, pp. 331\u2013339. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58323-1_36"},{"issue":"5","key":"37_CR14","first-page":"8","volume":"29","author":"DR Rizvi","year":"2020","unstructured":"Rizvi, D.R., et al.: An LSTM based deep learning model for voice-based detection of parkinson\u2019s disease. Int. J. Adv. Sci. Technol. 29(5), 8 (2020)","journal-title":"Int. J. Adv. Sci. Technol."},{"key":"37_CR15","unstructured":"Rusz, J.: Detecting speech disorders in early Parkinson\u2019s disease by acoustic analysis. Habilitation thesis, Czech Technical University in Prague (2018)"},{"issue":"3","key":"37_CR16","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/j.bandl.2005.01.008","volume":"94","author":"KA Spencer","year":"2005","unstructured":"Spencer, K.A., Rogers, M.A.: Speech motor programming in hypokinetic and ataxic dysarthria. Brain Lang. 94(3), 347\u2013366 (2005)","journal-title":"Brain Lang."},{"key":"37_CR17","doi-asserted-by":"crossref","unstructured":"Thompson, J.A., et al.: How transferable are features in convolutional neural network acoustic models across languages? In: Proceedings of ICASSP, pp. 2827\u20132831. IEEE (2019)","DOI":"10.1109\/ICASSP.2019.8683043"},{"key":"37_CR18","doi-asserted-by":"crossref","unstructured":"V\u00e1squez-Correa, J.C., Orozco-Arroyave, J.R., N\u00f6th, E.: Convolutional neural network to model articulation impairments in patients with Parkinson\u2019s disease. In: Proceedings of INTERSPEECH, pp. 314\u2013318 (2017)","DOI":"10.21437\/Interspeech.2017-1078"},{"key":"37_CR19","doi-asserted-by":"crossref","unstructured":"Vavrek, L., et al.: Deep convolutional neural network for detection of pathological speech. In: Proceedings of SAMI, pp. 000245\u2013000250. IEEE (2021)","DOI":"10.1109\/SAMI50585.2021.9378656"},{"key":"37_CR20","doi-asserted-by":"crossref","unstructured":"Wodzinski, M., et al.: Deep learning approach to parkinson\u2019s disease detection using voice recordings and convolutional neural network dedicated to image classification. In: Proceedings of EMBC, pp. 717\u2013720. IEEE (2019)","DOI":"10.1109\/EMBC.2019.8856972"},{"key":"37_CR21","doi-asserted-by":"crossref","unstructured":"Wu, H., et al.: Convolutional neural networks for pathological voice detection. In: Proceedings of EMBC, pp. 1\u20134. IEEE (2018)","DOI":"10.1109\/EMBC.2018.8513222"}],"container-title":["Lecture Notes in Computer Science","Text, Speech, and Dialogue"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-83527-9_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T10:58:15Z","timestamp":1725706695000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-83527-9_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030835262","9783030835279"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-83527-9_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"30 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TSD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Text, Speech, and Dialogue","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Olomouc","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"tsd2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.kiv.zcu.cz\/tsd2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"TSDEngine 3.2","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"101","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"17","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,93","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}