{"id":"https://openalex.org/W2396294578","doi":"https://doi.org/10.1109/icassp.2016.7472668","title":"Detecting the instant of emotion change from speech using a martingale framework","display_name":"Detecting the instant of emotion change from speech using a martingale framework","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2396294578","doi":"https://doi.org/10.1109/icassp.2016.7472668","mag":"2396294578"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5050484139","display_name":"Zhaocheng Huang","orcid":"https://orcid.org/0000-0002-7915-6790"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zhaocheng Huang","raw_affiliation_strings":["ATP Research Laboratory, National ICT Australia (NICTA), Australia","School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"ATP Research Laboratory, National ICT Australia (NICTA), Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030922449","display_name":"Julien Epps","orcid":"https://orcid.org/0000-0001-6624-5551"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Julien Epps","raw_affiliation_strings":["ATP Research Laboratory, National ICT Australia (NICTA), Australia","School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"ATP Research Laboratory, National ICT Australia (NICTA), Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050484139"],"corresponding_institution_ids":["https://openalex.org/I31746571","https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":1.8146,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85397874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5195","last_page":"5199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9883999824523926,"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/T11309","display_name":"Music and Audio Processing","score":0.9876999855041504,"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":0.6650448441505432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6314393877983093},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.5957569479942322},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5151404142379761},{"id":"https://openalex.org/keywords/martingale","display_name":"Martingale (probability theory)","score":0.4948210120201111},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.43264034390449524},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.4126880168914795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3595624566078186},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34126150608062744},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24409174919128418},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1798928678035736},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.10237309336662292},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06921800971031189}],"concepts":[{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6650448441505432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6314393877983093},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.5957569479942322},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5151404142379761},{"id":"https://openalex.org/C48406656","wikidata":"https://www.wikidata.org/wiki/Q534112","display_name":"Martingale (probability theory)","level":2,"score":0.4948210120201111},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.43264034390449524},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.4126880168914795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3595624566078186},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34126150608062744},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24409174919128418},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1798928678035736},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.10237309336662292},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06921800971031189},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W135042828","https://openalex.org/W141927798","https://openalex.org/W204956852","https://openalex.org/W1482605500","https://openalex.org/W1484181928","https://openalex.org/W1534131679","https://openalex.org/W1563565050","https://openalex.org/W1608705073","https://openalex.org/W1987048275","https://openalex.org/W1989029076","https://openalex.org/W1992391735","https://openalex.org/W2003837801","https://openalex.org/W2044535354","https://openalex.org/W2048110945","https://openalex.org/W2062497323","https://openalex.org/W2081074144","https://openalex.org/W2090777335","https://openalex.org/W2115599677","https://openalex.org/W2115861008","https://openalex.org/W2125462608","https://openalex.org/W2137702884","https://openalex.org/W2151299225","https://openalex.org/W2153720647","https://openalex.org/W2154184457","https://openalex.org/W2239141610","https://openalex.org/W2404190044","https://openalex.org/W6605445932","https://openalex.org/W6628802092","https://openalex.org/W6628911050","https://openalex.org/W6690215885","https://openalex.org/W6713388680"],"related_works":["https://openalex.org/W2029072726","https://openalex.org/W91913183","https://openalex.org/W2936882366","https://openalex.org/W1987182177","https://openalex.org/W2736893848","https://openalex.org/W2128698257","https://openalex.org/W1544055438","https://openalex.org/W3003450285","https://openalex.org/W2013608943","https://openalex.org/W2085024878"],"abstract_inverted_index":{"Towards":[0],"a":[1,28,64,70,79,84],"better":[2],"understanding":[3],"of":[4,32,56,58,81],"emotion":[5,14,40,50,86,110,131],"in":[6,27,30],"speech,":[7,118],"it":[8,18],"is":[9,76],"important":[10],"to":[11],"understand":[12],"how":[13],"changes":[15,111],"and":[16,34,116,123,129],"when":[17],"changes.":[19,41],"Recognizing":[20],"emotions":[21,33],"using":[22,63],"pre-segmented":[23],"speech":[24],"utterances":[25],"results":[26,89],"loss":[29],"continuity":[31],"does":[35],"not":[36,112],"provide":[37],"insights":[38],"into":[39,49],"In":[42],"this":[43],"paper,":[44],"we":[45],"propose":[46],"an":[47],"investigation":[48],"change":[51],"detection":[52],"from":[53,83],"the":[54,68,91,96,104,127],"perspective":[55],"exchangeability":[57],"data":[59],"points":[60],"observed":[61],"sequentially":[62],"martingale":[65,98],"framework.":[66],"Within":[67],"framework,":[69],"per-frame":[71],"GMM":[72],"likelihood":[73],"based":[74],"approach":[75],"proposed":[77,97],"as":[78],"measure":[80],"strangeness":[82],"particular":[85],"class.":[87],"Experimental":[88],"on":[90],"IEMOCAP":[92],"database":[93],"demonstrate":[94],"that":[95],"framework":[99],"offers":[100],"significant":[101],"improvements":[102],"over":[103],"baseline":[105],"GLR":[106],"method":[107],"for":[108],"detecting":[109],"only":[113],"between":[114,121],"neutral":[115],"emotional":[117],"but":[119],"also":[120],"positive":[122],"negative":[124],"classes":[125],"along":[126],"arousal":[128],"valence":[130],"dimensions.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
