{"id":"https://openalex.org/W2103798534","doi":"https://doi.org/10.1109/spcom.2010.5560541","title":"Emotion recognition from speech signal using epoch parameters","display_name":"Emotion recognition from speech signal using epoch parameters","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2103798534","doi":"https://doi.org/10.1109/spcom.2010.5560541","mag":"2103798534"},"language":"en","primary_location":{"id":"doi:10.1109/spcom.2010.5560541","doi":"https://doi.org/10.1109/spcom.2010.5560541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2010.5560541","pdf_url":null,"source":{"id":"https://openalex.org/S7407088835","display_name":"International Conference on Signal Processing and Communications (SPCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046622313","display_name":"Shashidhar G. Koolagudi","orcid":"https://orcid.org/0000-0002-6928-0237","observed_orcids":["https://orcid.org/0000-0002-6928-0237","https://orcid.org/0009-0004-5057-9599"]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashidhar G. Koolagudi","raw_affiliation_strings":["School of Information Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112727623","display_name":"Ramu Reddy","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ramu Reddy","raw_affiliation_strings":["School of Information Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048234263","display_name":"K. Sreenivasa Rao","orcid":"https://orcid.org/0000-0001-6112-6887","observed_orcids":["https://orcid.org/0000-0001-6112-6887"]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Sreenivasa Rao","raw_affiliation_strings":["School of Information Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":8.529,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.98212801,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"emotion recognition","score":0.722000002861023},{"id":"https://openalex.org/keywords/speech-emotion-recognition","display_name":"speech emotion recognition","score":0.7730000019073486},{"id":"https://openalex.org/keywords/glottal-closure","display_name":"glottal closure","score":0.9580000042915344},{"id":"https://openalex.org/keywords/linear-prediction-residual","display_name":"linear prediction residual","score":0.9580000042915344},{"id":"https://openalex.org/keywords/instantaneous-frequency","display_name":"instantaneous frequency","score":0.968999981880188},{"id":"https://openalex.org/keywords/six-basic-emotions","display_name":"six basic emotions","score":0.6200000047683716},{"id":"https://openalex.org/keywords/gaussian-mixture-model","display_name":"Gaussian mixture model","score":0.9129999876022339},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9990000128746033}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.721295952796936},{"id":"https://openalex.org/C2780317896","wikidata":"https://www.wikidata.org/wiki/Q2703","display_name":"Epoch (astronomy)","level":3,"score":0.6655833721160889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6146483421325684},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5600205063819885},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.439919114112854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07560083270072937},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C150846664","wikidata":"https://www.wikidata.org/wiki/Q7602306","display_name":"Stars","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom.2010.5560541","doi":"https://doi.org/10.1109/spcom.2010.5560541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2010.5560541","pdf_url":null,"source":{"id":"https://openalex.org/S7407088835","display_name":"International Conference on Signal Processing and Communications (SPCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/16","score":0.4300000071525574,"display_name":"Peace, justice, and strong institutions"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W175750906","https://openalex.org/W1492025072","https://openalex.org/W1575712594","https://openalex.org/W1629068926","https://openalex.org/W1994458317","https://openalex.org/W2095590291","https://openalex.org/W2109138290","https://openalex.org/W2111926505","https://openalex.org/W2118911453","https://openalex.org/W2131864930","https://openalex.org/W2149425161","https://openalex.org/W2167797544","https://openalex.org/W4233723219","https://openalex.org/W4301100068","https://openalex.org/W4301204483"],"related_works":["https://openalex.org/W165981754","https://openalex.org/W6910572882","https://openalex.org/W1975363285","https://openalex.org/W2746415023","https://openalex.org/W2016741249","https://openalex.org/W1971335626","https://openalex.org/W2028499805","https://openalex.org/W2549559054","https://openalex.org/W2013353012","https://openalex.org/W2369617619"],"abstract_inverted_index":{"This":[0],"paper":[1,56],"proposes":[2],"epoch":[3,58,101],"parameters":[4,59],"extracted":[5,85],"from":[6,86],"LP":[7,32,92],"(Linear":[8],"Prediction)":[9],"residual":[10,33],"and":[11,111,131,136,151],"zero":[12],"frequency":[13],"filtered":[14],"speech":[15],"signal":[16],"for":[17,78,142,156],"recognising":[18],"the":[19,49,57,87,99,118,144,157],"emotions":[20,124],"present":[21],"in":[22],"speech.":[23],"Instant":[24],"of":[25,31,42,51,62,67,70,72,80,91,149],"glottal":[26,52,88],"closure":[27,89],"within":[28],"pitch":[29],"period":[30],"is":[34,153],"known":[35],"as":[36,76],"an":[37],"'epoch'.":[38],"The":[39],"significant":[40],"excitation":[41],"vocal":[43],"tract":[44],"usually":[45],"takes":[46],"place":[47],"at":[48],"instant":[50],"closure.":[53],"In":[54,117],"this":[55],"namely":[60,125],"strength":[61,71],"epoch,":[63],"instantaneous":[64],"frequency,":[65],"sharpness":[66],"epochs,":[68],"slope":[69],"epochs":[73],"are":[74,84,115,140],"used":[75,141],"features":[77,83],"classification":[79],"emotions.":[81],"These":[82],"region":[90],"residual.":[93],"For":[94],"analysing":[95],"emotion":[96,147],"recognition,":[97],"using":[98],"proposed":[100],"parameters,":[102],"actor":[103],"recorded":[104],"Telugu":[105],"database":[106,114],"(IITKGP-Simulated":[107],"Emotion":[108],"Speech":[109],"Corpus)":[110],"Berlin":[112],"emotional":[113],"used.":[116],"study":[119],"we":[120],"have":[121],"considered":[122],"six":[123],"anger,":[126],"disgust,":[127],"fear,":[128],"happy,":[129],"neutral":[130],"sadness.":[132],"Gaussian":[133],"mixture":[134],"models":[135],"support":[137],"vector":[138],"machines":[139],"developing":[143],"models.":[145,159],"Average":[146],"recognition":[148],"61%":[150],"58%":[152],"observed":[154],"respectively":[155],"above":[158]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":7}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}