{ "ok": true, "doi": "10.46243/jstj.2018.v3.i2.162", "doi_display": "10.46243/jstj.2018.v3.i2.162", "doi_url": "https://doi.org/10.46243/jstj.2018.v3.i2.162", "state": "registered", "url": "https://www.jst.org.in/index.php/pub/article/view/162", "title": "Speech Emotion Recognition Methods", "version": 2, "registered_via": "crossref", "prefix": { "prefix": "10.46243", "status": "live" }, "registrant": { "name": "Longman Publishers", "kind": "publisher", "country": "India" }, "reserved_at": null, "registered_at": "2026-09-29 22:00:33", "updated_at": "2026-09-29 23:59:52", "withdrawn_at": null, "withdrawn_reason": null, "record": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jstj.2018.v3.i2.162", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Speech Emotion Recognition Methods", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jstj.2018.v3.i2.162" } ], "agents": [ { "role": "author", "name": { "given": "B.Kishore", "family": "Babu" }, "sequence": "first" }, { "role": "author", "name": { "given": "", "family": "T Annamani" }, "sequence": "additional" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2018-03-01", "date_type": "PublicationDate", "online": "2018-03-01" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "03", "issue": "02", "pages": { "first": "18", "last": "20" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/162", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/162/141", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/162/3404", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://www.jst.org.in/index.php/pub/article/view/162/141", "purpose": "similarity-checking" } ], "abstract": { "value": "Speech Emotion Recognition is a current topic of research since it has wide range of applications. Speech Emotion Recognition is a vital part of affective human interaction and has become a new challenge to speech processing. The work presented in this paper focus on study of various speech emotions recognition methods.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2018-03-01", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.1016/j.patcog.2010.09.020", "unstructured": "Ayadi M. E., Kamel M. S. and Karray F., „Survey on Speech Emotion Recognition: Features, Classification Schemes, and Databases‟, Pattern Recognition, 44(16), 572-587, 2011" }, { "key": "ref2", "doi": "10.1109/iciecs.2009.5362730", "unstructured": "Zhou y., Sun Y., Zhang J, Yan Y., \"Speech Emotion Recognition using Both Spectral and Prosodic Features\", IEEE, 23(5), 545-549, 2009" }, { "key": "ref3", "doi": "10.5120/431-636", "unstructured": "Yashpalsing Chavhan, M. L. Dhore, Pallavi Yesaware, “Speech Emotion Recognition Using Support Vector Machine”, International Journal of Computer Applications, vol.1, pp.6-9,February 2010" }, { "key": "ref4", "doi": "10.1109/csie.2009.113", "unstructured": "Xia Mao, Lijiang Chen, Liqin Fu, “Multi-level Speech Emotion Recognition Based on HMM and ANN”, 2009 WRI World Congress, Computer Science and Information Engineering, pp.225-229, March 2009" }, { "key": "ref5", "unstructured": "Yixiong Pan, Peipei Shen and Liping Shen, “Speech Emotion Recognition Using Support Vector Machine”, International Journal of Smart Home, Vol. 6, No. 2, April, 2012. [6][Online].Available: http://crteknologies.fr/projects/emospeech/" }, { "key": "ref6", "doi": "10.1109/icassp.2004.1326055", "unstructured": "D. Ververidis, C. Kotropoulos, and I. Pitas, “Automatic emotional speech classification”, in Proc. 2004 IEEE Int. Conf. Acoustics, Speech and Signal Processing, vol. 1, pp. 593-596, Montreal, May 2004" }, { "key": "ref7", "doi": "10.1007/3-540-45453-5_71", "unstructured": "F.Yu, E.Chang, Y.Xu, H.Shum, “Emotion detection from speech to enrich multimedia content”, Lecture Notes In Computer Science,Vol.2195, 550-557, 2001" }, { "key": "ref8", "doi": "10.1109/icpr.2006.780", "unstructured": "T.-L. Pao, Y.-T. Chen, J.-H. Yeh, P.-J. Li, “Mandarin emotional speech recognition based on SVM and NN”, Proceedings of the 18th International Conference on Pattern Recognition (ICPR?06), vol. 1, pp. 1096- 1100,September 2006" }, { "key": "ref9", "doi": "10.1109/icassp.2003.1202279", "unstructured": "B. Schuller, G. Rigoll, M. Lang, “Hidden Markov model-based speech emotion recognition”, Proceedings of the IEEE ICASSP Conference on Acoustics,Speech and Signal Processing, vol.2, pp. 1-4, April 2003" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-09-07", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "record_sha256": "890be538e5a94b74019cfd4cc4b65b3e3ef5aa6d69c2ce9884857d79f2418408", "handle": { "synced_at": "2026-10-01 18:13:33", "url": "https://www.jst.org.in/index.php/pub/article/view/162" }, "links": { "record_page": "https://registry.smartscholars.in/record.php?doi=10.46243%2Fjstj.2018.v3.i2.162", "system_metadata": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjstj.2018.v3.i2.162&as=system", "history": "https://registry.smartscholars.in/api.php?action=history&doi=10.46243%2Fjstj.2018.v3.i2.162", "kernel_xml": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjstj.2018.v3.i2.162&as=xml" } }