{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:28:45Z","timestamp":1766068125136,"version":"3.40.4"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031784972"},{"type":"electronic","value":"9783031784989"}],"license":[{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-78498-9_22","type":"book-chapter","created":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T09:28:20Z","timestamp":1733218100000},"page":"316-331","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Linear Frequency Residual Cepstral Features for\u00a0Dysarthria Severity Classification"],"prefix":"10.1007","author":[{"given":"Aditya","family":"Pusuluri","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hemant A.","family":"Patil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,4]]},"reference":[{"issue":"6","key":"22_CR1","doi-asserted-by":"publisher","first-page":"1574","DOI":"10.1121\/1.1911299","volume":"44","author":"P Lieberman","year":"1968","unstructured":"Lieberman, P.: Primate vocalizations and human linguistic ability. J. Acoust. Soc. Am. (JASA) 44(6), 1574\u20131584 (1968)","journal-title":"J. Acoust. Soc. Am. (JASA)"},{"issue":"2","key":"22_CR2","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1080\/14417040600970606","volume":"9","author":"R Palmer","year":"2007","unstructured":"Palmer, R., Enderby, P.: Methods of speech therapy treatment for stable dysarthria: a review. Adv. Speech Lang. Pathol. 9(2), 140\u2013153 (2007)","journal-title":"Adv. Speech Lang. Pathol."},{"key":"22_CR3","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1044\/1092-4388(2010\/10-0020)","volume":"54","author":"Y Kim","year":"2011","unstructured":"Kim, Y., Kent, R.D., Weismer, G.: An acoustic study of the relationships among neurologic disease, dysarthria type, and severity of dysarthria. J. Speech Lang. Hear. Res. (JSLH) 54, 417\u2013429 (2011)","journal-title":"J. Speech Lang. Hear. Res. (JSLH)"},{"key":"22_CR4","doi-asserted-by":"crossref","unstructured":"Bhat, C., Vachhani, B., Kopparapu, S.K.: Automatic assessment of dysarthria severity-level using audio descriptors. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, LA, USA, 2017, pp. 5070\u20135074 (2017)","DOI":"10.1109\/ICASSP.2017.7953122"},{"issue":"5","key":"22_CR5","doi-asserted-by":"publisher","first-page":"643","DOI":"10.4218\/etrij.2017-0260","volume":"40","author":"A Farhadipour","year":"2018","unstructured":"Farhadipour, A., Veisi, H., Asgari, M., Keyvanrad, M.A.: Dysarthric speaker identification with different degrees of dysarthria severity using deep belief networks. ETRI J. 40(5), 643\u2013652 (2018)","journal-title":"ETRI J."},{"key":"22_CR6","doi-asserted-by":"crossref","unstructured":"Kachhi, A., Therattil, A., Patil, A.T., Sailor, H.B., Patil, H.A.: Teager energy cepstral coefficients for classification of dysarthric speech severity-level. In: Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). Chiang Mai, Thailand, IEEE 2022, pp. 1462\u20131468 (2022)","DOI":"10.23919\/APSIPAASC55919.2022.9980322"},{"key":"22_CR7","doi-asserted-by":"publisher","unstructured":"Zhou, X., Garcia-Romero, D., Duraiswami, R., Espy-Wilson, C., Shamma, S.: Linear versus mel frequency cepstral coefficients for speaker recognition. In: IEEE Workshop on Automatic Speech Recognition & Understanding 2011, pp. 559\u2013564 (2011). https:\/\/doi.org\/10.1109\/ASRU.2011.6163888","DOI":"10.1109\/ASRU.2011.6163888"},{"key":"22_CR8","doi-asserted-by":"crossref","unstructured":"Gupta, P., Patil, H.A.: Linear frequency residual cepstral features for replay spoof detection on asvspoof 2019. In: 2022 30th European Signal Processing Conference (EUSIPCO), 2022, pp. 349\u2013353 (2022)","DOI":"10.23919\/EUSIPCO55093.2022.9909913"},{"key":"22_CR9","doi-asserted-by":"publisher","unstructured":"Hora, B.S., Uthiraa, S., Patil, H.A.: Linear frequency residual cepstral coefficients for speech emotion recognition. In: Karpov, A., Samudravijaya, K., Deepak, K.T., Hegde, R.M., Agrawal, S.S., Prasanna, S.R.M. (eds.) Speech and Computer. SPECOM 2023. LNCS, vol. 14338, pp. 116\u2013129. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-48309-7_10","DOI":"10.1007\/978-3-031-48309-7_10"},{"key":"22_CR10","doi-asserted-by":"publisher","unstructured":"Falk, T.H., Chan, W.Y., Shein, F.: Characterization of atypical vocal source excitation, temporal dynamics and prosody for objective measurement of dysarthric word intelligibility. Speech Commun. 54(5), 622\u2013631 (2012). advanced Voice Function Assessment.https:\/\/doi.org\/10.1016\/j.specom.2011.03.007, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167639311000513","DOI":"10.1016\/j.specom.2011.03.007"},{"issue":"7","key":"22_CR11","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1109\/TASLP.2019.2913089","volume":"27","author":"CM Vikram","year":"2019","unstructured":"Vikram, C.M., Adiga, N., Prasanna, S.R.M.: Detection of nasalized voiced stops in cleft palate speech using epoch-synchronous features. IEEE\/ACM Trans. Audio Speech Lang. Process. 27(7), 1189\u20131200 (2019). https:\/\/doi.org\/10.1109\/TASLP.2019.2913089","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"issue":"2","key":"22_CR12","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1109\/MSP.2006.1598091","volume":"23","author":"BS Atal","year":"2006","unstructured":"Atal, B.S.: The history of linear prediction. IEEE Signal Process. Mag. 23(2), 154\u2013161 (2006)","journal-title":"IEEE Signal Process. Mag."},{"key":"22_CR13","doi-asserted-by":"publisher","unstructured":"Kadiri, S.R., Prasad, R., Yegnanarayana, B.: Detection of glottal closure instant and glottal open region from speech signals using spectral flatness measure. Speech Commun. 116, 30\u201343 (2020). https:\/\/doi.org\/10.1016\/j.specom.2019.11.004, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167639318302292","DOI":"10.1016\/j.specom.2019.11.004"},{"key":"22_CR14","doi-asserted-by":"publisher","unstructured":"Kachhi, A., Therattil, A., Patil, A.T., Sailor, H.B., Patil, H.A.: Significance of energy features for severity classification of dysarthria. In: Prasanna, S.R.M., Karpov, A., Samudravijaya, K., Agrawal, S.S. (eds.) Speech and Computer. SPECOM 2022. LNCS, vol. 13721, pp. 325\u2013337. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-20980-2_28","DOI":"10.1007\/978-3-031-20980-2_28"},{"key":"22_CR15","doi-asserted-by":"publisher","unstructured":"Kim, H., Hasegawa-Johnson, M., Perlman, A., Gunderson, J.R., Watkin, K.L., Frame, S.: Dysarthric speech database for universal access research, pp. 1741\u20131744, September 2008.https:\/\/doi.org\/10.21437\/Interspeech.2008-480","DOI":"10.21437\/Interspeech.2008-480"},{"key":"22_CR16","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1007\/s10579-011-9145-0","volume":"46","author":"F Rudzicz","year":"2012","unstructured":"Rudzicz, F., Namasivayam, A.K., Wolff, T.: The TORGO database of acoustic and articulatory speech from speakers with dysarthria. Lang. Resour. Eval. 46, 523\u2013541 (2012)","journal-title":"Lang. Resour. Eval."},{"key":"22_CR17","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.neunet.2021.02.008","volume":"139","author":"S Gupta","year":"2021","unstructured":"Gupta, S., et al.: Residual neural network precisely quantifies dysarthria severity-level based on short-duration speech segments. Neural Netw. 139, 105\u2013117 (2021)","journal-title":"Neural Netw."},{"key":"22_CR18","unstructured":"Radford, A., Kim, J.W., Xu, T., Brockman, G., McLeavey, C., Sutskever, I., : Robust speech recognition via large-scale weak supervision (2022). arXiv:2212.04356"},{"issue":"3","key":"22_CR19","doi-asserted-by":"publisher","first-page":"596","DOI":"10.1044\/1092-4388(2008\/043)","volume":"51","author":"Y Yunusova","year":"2008","unstructured":"Yunusova, Y., Weismer, G., Westbury, J.R., Lindstrom, M.J.: Articulatory movements during vowels in speakers with dysarthria and healthy controls. J. Speech Lang. Hear. Res. 51(3), 596\u2013611 (2008)","journal-title":"J. Speech Lang. Hear. Res."},{"key":"22_CR20","unstructured":"Quatieri, T.F.: Discrete-Time Speech Signal Processing: Principles and Practice, Pearson Education, $$3^{rd}$$ edition, India, 2006"},{"key":"22_CR21","doi-asserted-by":"crossref","unstructured":"Prasanna, S.R.M., Yegnanarayana, B.: Detection of vowel onset point events using excitation information. In: Interspeech, 2005. https:\/\/api.semanticscholar.org\/CorpusID:14413800","DOI":"10.21437\/Interspeech.2005-208"},{"key":"22_CR22","doi-asserted-by":"publisher","unstructured":"Mahadeva\u00a0Prasanna, S.R., Sandeep\u00a0Reddy, B.V., Krishnamoorthy, P.: Vowel onset point detection using source, spectral peaks, and modulation spectrum energies. IEEE Trans. Audio, Speech Lang. Process. 17(4), 556\u2013565 (2009). https:\/\/doi.org\/10.1109\/TASL.2008.2010884","DOI":"10.1109\/TASL.2008.2010884"},{"issue":"1","key":"22_CR23","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/LSP.2005.860538","volume":"13","author":"KSR Murty","year":"2005","unstructured":"Murty, K.S.R., Yegnanarayana, B.: Combining evidence from residual phase and MFCC features for speaker recognition. IEEE Signal Process. Lett. 13(1), 52\u201355 (2005)","journal-title":"IEEE Signal Process. Lett."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78498-9_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,27]],"date-time":"2025-04-27T14:14:37Z","timestamp":1745763277000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78498-9_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,4]]},"ISBN":["9783031784972","9783031784989"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78498-9_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,4]]},"assertion":[{"value":"4 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","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":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 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":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}