{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T20:13:04Z","timestamp":1775851984091,"version":"3.50.1"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031783401","type":"print"},{"value":"9783031783418","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"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\/978-3-031-78341-8_18","type":"book-chapter","created":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T15:14:53Z","timestamp":1733066093000},"page":"275-289","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Infant Cry Classification Using Modified Group Delay Cepstral Coefficients"],"prefix":"10.1007","author":[{"given":"Arth J.","family":"Shah","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiya","family":"Chaudhari","sequence":"additional","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":[[2024,12,2]]},"reference":[{"issue":"2","key":"18_CR1","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/0010-0277(88)90035-2","volume":"29","author":"J Mehler","year":"1988","unstructured":"Mehler, J., Jusczyk, P., Lambertz, G., Halsted, N., Bertoncini, J., Amiel-Tison, C.: A precursor of language acquisition in young infants. Cognition 29(2), 143\u2013178 (1988)","journal-title":"Cognition"},{"issue":"7","key":"18_CR2","doi-asserted-by":"publisher","first-page":"3543","DOI":"10.1109\/TPAMI.2021.3057634","volume":"44","author":"JJ Engelsma","year":"2021","unstructured":"Engelsma, J.J., Deb, D., Cao, K., Bhatnagar, A., Sudhish, P.S., Jain, A.K.: Infant-ID: fingerprints for global good. IEEE Trans. Pattern Anal. Mach. Intell. 44(7), 3543\u20133559 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"18_CR3","doi-asserted-by":"publisher","first-page":"237","DOI":"10.3389\/fnhum.2010.00237","volume":"4","author":"YS Bonneh","year":"2011","unstructured":"Bonneh, Y.S., Levanon, Y., Dean-Pardo, O., Lossos, L., Adini, Y.: Abnormal speech spectrum and increased pitch variability in young autistic children. Front. Hum. Neurosci. 4, 237 (2011)","journal-title":"Front. Hum. Neurosci."},{"issue":"4","key":"18_CR4","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1109\/PROC.1975.9792","volume":"63","author":"J Makhoul","year":"1975","unstructured":"Makhoul, J.: Linear prediction: a tutorial review. Proc. IEEE 63(4), 561\u2013580 (1975)","journal-title":"Proc. IEEE"},{"key":"18_CR5","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1007\/978-3-031-48309-7_44","volume-title":"Speech and Computer","author":"S Uthiraa","year":"2023","unstructured":"Uthiraa, S., Kachhi, A., Patil, H.A.: Linear frequency residual features for infant cry classification. In: Karpov, A., Samudravijaya, K., Deepak, K.T., Hegde, R.M., Agrawal, S.S., Prasanna, S.R.M. (eds.) SPECOM 2023. LNCS, vol. 14338, pp. 550\u2013561. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-48309-7_44"},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Dewi, S.P., Prasasti, A.L., Irawan, B.: The study of baby crying analysis using MFCC and LFCC in different classification methods. In: 2019 IEEE International Conference on Signals and Systems (ICSigSys), Bandung, Indonesia, pp. 18\u201323 (2019)","DOI":"10.1109\/ICSIGSYS.2019.8811070"},{"key":"18_CR7","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"590","DOI":"10.1007\/978-3-031-20980-2_50","volume-title":"Speech and Computer","author":"A Pusuluri","year":"2022","unstructured":"Pusuluri, A., Kachhi, A., Patil, H.A.: Analysis of time-averaged feature extraction techniques on infant cry classification. In: Prasanna, S.R.M., Karpov, A., Samudravijaya, K., Agrawal, S.S. (eds.) SPECOM 2022. LNCS, vol. 13721, pp. 590\u2013603. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-20980-2_50"},{"key":"18_CR8","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.bspc.2023.105261","volume":"86","author":"A Abbaskhah","year":"2023","unstructured":"Abbaskhah, A., Sedighi, H., Marvi, H.: Infant cry classification by MFCC feature extraction with MLP and CNN structures. Biomed. Signal Process. Control 86, 105\u2013261 (2023)","journal-title":"Biomed. Signal Process. Control"},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Zhu, D., Paliwal, K.K.: Product of power spectrum and group delay function for speech recognition. In: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol.\u00a01, p. I-125 (2004)","DOI":"10.1109\/ICASSP.2004.1325938"},{"key":"18_CR10","doi-asserted-by":"crossref","unstructured":"Murthy, H.A., Gadde, V.: The modified group delay function and its application to phoneme recognition. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hong Kong, vol.\u00a01, p. I-68 (2003)","DOI":"10.1109\/ICASSP.2003.1198718"},{"issue":"1","key":"18_CR11","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1109\/TASL.2006.876858","volume":"15","author":"RM Hegde","year":"2006","unstructured":"Hegde, R.M., Murthy, H.A., Gadde, V.R.R.: Significance of the modified group delay feature in speech recognition. IEEE Trans. Audio Speech Lang. Process. 15(1), 190\u2013202 (2006)","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Alsteris, L.D., Paliwal, K.K.: Evaluation of the modified group delay feature for isolated word recognition. In: Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, Sydney, Australia, vol.\u00a02, pp. 715\u2013718 (2005)","DOI":"10.1109\/ISSPA.2005.1581038"},{"key":"18_CR13","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1007\/978-3-319-24033-6_67","volume-title":"Text, Speech, and Dialogue","author":"A Chittora","year":"2015","unstructured":"Chittora, A., Patil, H.A.: Modified group delay based features for asthma and HIE infant cries classification. In: Kr\u00e1l, P., Matou\u0161ek, V. (eds.) TSD 2015. LNCS (LNAI), vol. 9302, pp. 595\u2013602. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24033-6_67"},{"key":"18_CR14","unstructured":"O\u2019Sullivan, J., et\u00a0al.: Automatic speech recognition for ASD using the open-source whisper model from OpenAI (2023)"},{"key":"18_CR15","doi-asserted-by":"crossref","unstructured":"Feng, T., Narayanan, S.: Foundation model assisted automatic speech emotion recognition: transcribing, annotating, and augmenting. In: ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, pp. 12116\u201312120 (2024)","DOI":"10.1109\/ICASSP48485.2024.10448130"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Yang, Y., et al.: A robust audio deepfake detection system via multi-view feature. In: ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, pp. 13131\u201313135 (2024)","DOI":"10.1109\/ICASSP48485.2024.10446560"},{"key":"18_CR17","doi-asserted-by":"crossref","unstructured":"Charola, M., Kachhi, A., Patil, H.A.: Whisper encoder features for infant cry classification. In: Proceedings of INTERSPEECH, Dublin, Ireland, vol. 2023, pp. 1773\u20131777 (2023)","DOI":"10.21437\/Interspeech.2023-1916"},{"issue":"2","key":"18_CR18","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1093\/biomet\/60.2.241","volume":"60","author":"E Hannan","year":"1973","unstructured":"Hannan, E., Thomson, P.: Estimating group delay. Biometrika 60(2), 241\u2013253 (1973)","journal-title":"Biometrika"},{"key":"18_CR19","doi-asserted-by":"publisher","first-page":"745","DOI":"10.1007\/s12046-011-0045-1","volume":"36","author":"HA Murthy","year":"2011","unstructured":"Murthy, H.A., Yegnanarayana, B.: Group delay functions and its applications in speech technology. Sadhana 36, 745\u2013782 (2011)","journal-title":"Sadhana"},{"issue":"1","key":"18_CR20","first-page":"229","volume":"58","author":"X Zhu","year":"2008","unstructured":"Zhu, X., Li, Y., Yong, S., Zhuang, Z.: A novel definition and measurement method of group delay and its application. IEEE Trans. Instrum. Meas. 58(1), 229\u2013233 (2008)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"18_CR21","doi-asserted-by":"crossref","unstructured":"Reyes-Galaviz, O.F., Cano-Ortiz, S.D., Reyes-Garc\u00eda, C.A.: Evolutionary-neural system to classify infant cry units for pathologies identification in recently born babies. In: 2008 Seventh Mexican International Conference on Artificial Intelligence, pp. 330\u2013335. Cambridge (2008)","DOI":"10.1109\/MICAI.2008.73"},{"key":"18_CR22","doi-asserted-by":"crossref","unstructured":"Reyes-Galaviz, O.F., Cano-Ortiz, S.D., Reyes-Garc\u00eda, C.A.: Validation of the cry unit as primary element for cry analysis using an evolutionary-neural approach. In: 2008 Mexican International Conference on Computer Science, Baja California, Mexico, pp. 261\u2013267 (2008)","DOI":"10.1109\/ENC.2008.16"},{"key":"18_CR23","doi-asserted-by":"crossref","unstructured":"Chittora, A., Patil, H.A.: Data collection and corpus design for analysis of nonnal and pathological infant cry. In: 2013 International Conference Oriental COCOSDA held jointly with 2013 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA\/CASLRE), Gurugram, India, pp. 1\u20136 (2013)","DOI":"10.1109\/ICSDA.2013.6709886"},{"key":"18_CR24","doi-asserted-by":"publisher","first-page":"582","DOI":"10.1007\/BF02943243","volume":"16","author":"F Zheng","year":"2001","unstructured":"Zheng, F., Zhang, G., Song, Z.: Comparison of different implementations of MFCC. J. Comput. Sci. Technol. 16, 582\u2013589 (2001). Accessed 16 Apr 2024","journal-title":"J. Comput. Sci. Technol."},{"key":"18_CR25","doi-asserted-by":"crossref","unstructured":"Dewi, S.P., Prasasti, A.L., Irawan, B.: Analysis of LFCC feature extraction in baby crying classification using KNN. In: IEEE International Conference on Internet of Things and Intelligence System (IoTaIS), Hong Kong, pp. 86\u201391 (2019)","DOI":"10.1109\/IoTaIS47347.2019.8980389"},{"key":"18_CR26","unstructured":"Joukov, N., Traeger, A., Iyer, R., Wright, C.P., Zadok, E.: Operating system profiling via latency analysis. In: OSDI, Seattle, WA, vol.\u00a06, pp. 89\u2013102 (2006)"},{"key":"18_CR27","doi-asserted-by":"crossref","unstructured":"Le, L., Kabir, A.N.M., Ji, C., Basodi, S., Pan, Y.: Using transfer learning, SVM, and ensemble classification to classify baby cries based on their spectrogram images. In: 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems Workshops (MASSW), Monterey, CA, USA, pp. 106\u2013110 (2019)","DOI":"10.1109\/MASSW.2019.00028"},{"key":"18_CR28","doi-asserted-by":"crossref","unstructured":"Chunyan, J., Chen, M., Bin, L., Pan, Y.: Infant cry classification with graph convolutional networks. In: 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS), Las Vegas, USA, pp. 322\u2013327 (2021)","DOI":"10.1109\/ICCCS52626.2021.9449246"},{"key":"18_CR29","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1007\/s10772-011-9115-3","volume":"14","author":"SHK Parthasarathi","year":"2011","unstructured":"Parthasarathi, S.H.K., Padmanabhan, R., Murthy, H.A.: Robustness of group delay representations for noisy speech signals. Int. J. Speech Technol. 14, 361\u2013368 (2011)","journal-title":"Int. J. Speech Technol."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78341-8_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T16:06:20Z","timestamp":1733069180000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78341-8_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,2]]},"ISBN":["9783031783401","9783031783418"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78341-8_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,2]]},"assertion":[{"value":"2 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"}}]}}