{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T02:31:52Z","timestamp":1776738712467,"version":"3.51.2"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031705656","type":"print"},{"value":"9783031705663","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-70566-3_22","type":"book-chapter","created":{"date-parts":[[2024,8,31]],"date-time":"2024-08-31T18:29:51Z","timestamp":1725128991000},"page":"252-262","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Robust Classification of\u00a0Parkinson\u2019s Speech: an\u00a0Approximation to\u00a0a\u00a0Scenario With Non-controlled Acoustic Conditions"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1285-739X","authenticated-orcid":false,"given":"Diego Alexander","family":"Lopez-Santander","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0174-1452","authenticated-orcid":false,"given":"Cristian","family":"David Rios-Urrego","sequence":"additional","affiliation":[]},{"given":"Christian","family":"Bergler","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3396-555X","authenticated-orcid":false,"given":"Elmar","family":"N\u00f6th","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8507-0782","authenticated-orcid":false,"given":"Juan Rafael","family":"Orozco-Arroyave","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,27]]},"reference":[{"issue":"3","key":"22_CR1","first-page":"96","volume":"34","author":"S Adams","year":"2006","unstructured":"Adams, S., Dykstra, A., Abrams, K., Winnell, J., Jenkins, M., Jog, M.: Conversational speech intensity under different noise conditions in hypophonia and Parkinson\u2019s disease. Can. Acoust. 34(3), 96\u201397 (2006)","journal-title":"Can. Acoust."},{"issue":"5","key":"22_CR2","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1212\/WNL.0000000000000641","volume":"83","author":"CH Adler","year":"2014","unstructured":"Adler, C.H., et al.: Low clinical diagnostic accuracy of early vs advanced Parkinson disease: clinicopathologic study. Neurology 83(5), 406\u2013412 (2014)","journal-title":"Neurology"},{"key":"22_CR3","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.patrec.2019.04.005","volume":"125","author":"JS Almeida","year":"2019","unstructured":"Almeida, J.S., et al.: Detecting Parkinson\u2019s disease with sustained phonation and speech signals using machine learning techniques. Pattern Recogn. Lett. 125, 55\u201362 (2019)","journal-title":"Pattern Recogn. Lett."},{"issue":"2","key":"22_CR4","doi-asserted-by":"publisher","first-page":"93","DOI":"10.28957\/rcmfr.v29n2a3","volume":"29","author":"SB Avenda\u00f1o-Avenda\u00f1o","year":"2019","unstructured":"Avenda\u00f1o-Avenda\u00f1o, S.B., Bernal-Pacheco, O., Esquivia-P\u00e1jaro, C.T.: Caracterizaci\u00f3n funcional y calidad de vida en pacientes con enfermedad de Parkinson. Revista Colombiana de Medicina F\u00edsica y Rehabilitaci\u00f3n 29(2), 93\u2013102 (2019)","journal-title":"Revista Colombiana de Medicina F\u00edsica y Rehabilitaci\u00f3n"},{"key":"22_CR5","doi-asserted-by":"crossref","unstructured":"Bergler, C., Schmitt, M., Maier, A., Smeele, S., Barth, V., N\u00f6th, E.: ORCA-CLEAN: a deep denoising toolkit for killer whale communication. In: Proceedings of INTERSPEECH, pp. 1136\u20131140 (2020)","DOI":"10.21437\/Interspeech.2020-1316"},{"issue":"1","key":"22_CR6","doi-asserted-by":"publisher","first-page":"21966","DOI":"10.1038\/s41598-022-26429-y","volume":"12","author":"C Bergler","year":"2022","unstructured":"Bergler, C., et al.: ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning. Sci. Rep. 12(1), 21966 (2022)","journal-title":"Sci. Rep."},{"key":"22_CR7","doi-asserted-by":"crossref","unstructured":"Bhat, M., Inamdar, S., Kulkarni, D., Kulkarni, G., Shriram, R.: Parkinson\u2019s disease prediction based on hand tremor analysis. In: Proceedings of ICCSP, pp. 625\u2013629. IEEE (2017)","DOI":"10.1109\/ICCSP.2017.8286433"},{"key":"22_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103006","volume":"70","author":"MB Er","year":"2021","unstructured":"Er, M.B., Isik, E., Isik, I.: Parkinson\u2019s detection based on combined CNN and LSTM using enhanced speech signals with variational mode decomposition. Biomed. Signal Process. Control 70, 103006 (2021)","journal-title":"Biomed. Signal Process. Control"},{"issue":"3","key":"22_CR9","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1139\/z89-105","volume":"67","author":"JKB Ford","year":"1989","unstructured":"Ford, J.K.B.: Acoustic behaviour of resident killer whales (Orcinus orca) off Vancouver Island, British Columbia. Can. J. Zool. 67(3), 727\u2013745 (1989)","journal-title":"Can. J. Zool."},{"issue":"15","key":"22_CR10","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. Official J. Mov. Disord. Soc. 23(15), 2129\u20132170 (2008)","journal-title":"Mov. Disord. Official J. Mov. Disord. Soc."},{"key":"22_CR11","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"},{"key":"22_CR12","unstructured":"Hern\u00e1ndez-Mena, C.D., Herrera-Camacho, J.A.: Ciempiess: a new open-sourced Mexican Spanish radio corpus. In: Proceedings of LREC, pp. 371\u2013375 (2014)"},{"issue":"4","key":"22_CR13","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. Neurosurg. Psychiatry 79(4), 368\u2013376 (2008)","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"issue":"9996","key":"22_CR14","doi-asserted-by":"publisher","first-page":"896","DOI":"10.1016\/S0140-6736(14)61393-3","volume":"386","author":"LV Kalia","year":"2015","unstructured":"Kalia, L.V., Lang, A.E.: Parkinson\u2019s disease. Lancet 386(9996), 896\u2013912 (2015)","journal-title":"Lancet"},{"key":"22_CR15","unstructured":"Lehtinen, J., et al.: Noise2Noise: learning image restoration without clean data. arXiv preprint arXiv:1803.04189 (2018)"},{"key":"22_CR16","unstructured":"Orozco-Arroyave, J.R.: Analysis of Speech of People with Parkinson\u2019s Disease. Studien zur Mustererkennung, Ed. Logos Verlag Berlin (2016)"},{"key":"22_CR17","unstructured":"Orozco-Arroyave, J.R., Arias-Londo\u00f1o, J.D., Vargas-Bonilla, J.F., Gonzalez-R\u00e1tiva, M.C., N\u00f6th, E.: New Spanish speech corpus database for the analysis of people suffering from Parkinson\u2019s disease. In: Proceedings of LREC, pp. 342\u2013347 (2014)"},{"key":"22_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.103802","volume":"77","author":"SH Pauline","year":"2022","unstructured":"Pauline, S.H., Dhanalakshmi, S., Kumar, R., Narayanamoorthi, R.: Noise reduction in speech signal of Parkinson\u2019s Disease (PD) patients using optimal variable stage cascaded adaptive filter configuration. Biomed. Signal Process. Control 77, 103802 (2022)","journal-title":"Biomed. Signal Process. Control"},{"issue":"4","key":"22_CR19","doi-asserted-by":"publisher","first-page":"2259","DOI":"10.1007\/s00034-022-02211-3","volume":"42","author":"SH Pauline","year":"2023","unstructured":"Pauline, S.H., Dhanalakshmi, S., Kumar, R., Narayanamoorthi, R., Lai, K.W.: Multistage switched adaptive filtering approach for denoising speech signals of Parkinson\u2019s disease-affected patients. Circ. Syst. Sig. Process. 42(4), 2259\u20132282 (2023)","journal-title":"Circ. Syst. Sig. Process."},{"key":"22_CR20","doi-asserted-by":"crossref","unstructured":"Reddy, C.K., Beyrami, E., Pool, J., Cutler, R., Srinivasan, S., Gehrke, J.: A scalable noisy speech dataset and online subjective test framework. arXiv preprint arXiv:1909.08050 (2019)","DOI":"10.21437\/Interspeech.2019-3087"},{"key":"22_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"issue":"19","key":"22_CR22","doi-asserted-by":"publisher","first-page":"29437","DOI":"10.1007\/s11042-021-11061-1","volume":"80","author":"B Sonawane","year":"2021","unstructured":"Sonawane, B., Sharma, P.: Speech-based solution to Parkinson\u2019s disease management. Multimedia Tools Appl. 80(19), 29437\u201329451 (2021)","journal-title":"Multimedia Tools Appl."},{"key":"22_CR23","doi-asserted-by":"crossref","unstructured":"Tsanas, A., Little, M., McSharry, P., Ramig, L.: Accurate telemonitoring of Parkinson\u2019s disease progression by non-invasive speech tests. Nature Precedings (2009)","DOI":"10.1038\/npre.2009.3920.1"},{"issue":"1","key":"22_CR24","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1007\/s12204-021-2376-3","volume":"27","author":"Q Yu","year":"2022","unstructured":"Yu, Q., Ma, Y., Li, Y.: Enhancing speech recognition for Parkinson\u2019s disease patient using transfer learning technique. J. Shanghai Jiaotong Univ. (Science) 27(1), 90\u201398 (2022)","journal-title":"J. Shanghai Jiaotong Univ. (Science)"}],"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\/978-3-031-70566-3_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T05:15:14Z","timestamp":1763615714000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70566-3_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031705656","9783031705663"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70566-3_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 August 2024","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":"Brno","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"tsd2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.tsdconference.org\/tsd2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}