{"id":"https://openalex.org/W2080220766","doi":"https://doi.org/10.1109/icsmc.2010.5642364","title":"Recognition and analysis of emotion transition in mandarin speech signal","display_name":"Recognition and analysis of emotion transition in mandarin speech signal","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2080220766","doi":"https://doi.org/10.1109/icsmc.2010.5642364","mag":"2080220766"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2010.5642364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5642364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","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/A5040187372","display_name":"Tsang-Long Pao","orcid":null},"institutions":[{"id":"https://openalex.org/I65196183","display_name":"Tatung University","ror":"https://ror.org/030m18266","country_code":"TW","type":"education","lineage":["https://openalex.org/I65196183"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tsang-Long Pao","raw_affiliation_strings":["Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan","Dept. of Computer Science and Engineering, Tatung University, Taipei, Taiwan, R.O.C#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan","institution_ids":["https://openalex.org/I65196183"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Tatung University, Taipei, Taiwan, R.O.C#TAB#","institution_ids":["https://openalex.org/I65196183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032570762","display_name":"Jun-Heng Yeh","orcid":null},"institutions":[{"id":"https://openalex.org/I65196183","display_name":"Tatung University","ror":"https://ror.org/030m18266","country_code":"TW","type":"education","lineage":["https://openalex.org/I65196183"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Heng Yeh","raw_affiliation_strings":["Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan","Dept. of Computer Science and Engineering, Tatung University, Taipei, Taiwan, R.O.C#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan","institution_ids":["https://openalex.org/I65196183"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Tatung University, Taipei, Taiwan, R.O.C#TAB#","institution_ids":["https://openalex.org/I65196183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036774817","display_name":"Yao-Wei Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I65196183","display_name":"Tatung University","ror":"https://ror.org/030m18266","country_code":"TW","type":"education","lineage":["https://openalex.org/I65196183"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yao-Wei Tsai","raw_affiliation_strings":["Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan","Dept. of Computer Science and Engineering, Tatung University, Taipei, Taiwan, R.O.C#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan","institution_ids":["https://openalex.org/I65196183"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Tatung University, Taipei, Taiwan, R.O.C#TAB#","institution_ids":["https://openalex.org/I65196183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040187372"],"corresponding_institution_ids":["https://openalex.org/I65196183"],"apc_list":null,"apc_paid":null,"fwci":0.5717,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74299086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3326","last_page":"3332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T10860","display_name":"Speech and Audio Processing","score":0.9922999739646912,"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"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7631988525390625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.71705561876297},{"id":"https://openalex.org/keywords/sadness","display_name":"Sadness","score":0.6579635143280029},{"id":"https://openalex.org/keywords/mandarin-chinese","display_name":"Mandarin Chinese","score":0.6455826163291931},{"id":"https://openalex.org/keywords/speech-segmentation","display_name":"Speech segmentation","score":0.5887281894683838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5602993965148926},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.518890917301178},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.4860687553882599},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4683973789215088},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.44144630432128906},{"id":"https://openalex.org/keywords/speech-corpus","display_name":"Speech corpus","score":0.43200114369392395},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4132738709449768},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.23493728041648865},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1920851767063141},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16907310485839844}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7631988525390625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.71705561876297},{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.6579635143280029},{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.6455826163291931},{"id":"https://openalex.org/C207030507","wikidata":"https://www.wikidata.org/wiki/Q2266173","display_name":"Speech segmentation","level":3,"score":0.5887281894683838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5602993965148926},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.518890917301178},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.4860687553882599},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4683973789215088},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.44144630432128906},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.43200114369392395},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4132738709449768},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.23493728041648865},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1920851767063141},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16907310485839844},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2010.5642364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5642364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W99444952","https://openalex.org/W141482854","https://openalex.org/W1491515786","https://openalex.org/W1492025072","https://openalex.org/W1540466161","https://openalex.org/W1560904098","https://openalex.org/W1569306752","https://openalex.org/W1581387623","https://openalex.org/W1923034539","https://openalex.org/W1940107713","https://openalex.org/W1940245494","https://openalex.org/W2001233357","https://openalex.org/W2032254851","https://openalex.org/W2070660347","https://openalex.org/W2102953093","https://openalex.org/W2148600927","https://openalex.org/W2149345536","https://openalex.org/W2151101680","https://openalex.org/W2154611638","https://openalex.org/W2158419735","https://openalex.org/W2165036529","https://openalex.org/W2168241833","https://openalex.org/W2170938075","https://openalex.org/W2907162034","https://openalex.org/W4301100068","https://openalex.org/W6604061577","https://openalex.org/W6605703937","https://openalex.org/W6629469850","https://openalex.org/W6634977645","https://openalex.org/W6682119568","https://openalex.org/W6684803267","https://openalex.org/W6844641610"],"related_works":["https://openalex.org/W1558302546","https://openalex.org/W4214818988","https://openalex.org/W2168417340","https://openalex.org/W4255793089","https://openalex.org/W2402157757","https://openalex.org/W4388404911","https://openalex.org/W2738297198","https://openalex.org/W1987021544","https://openalex.org/W1886519670","https://openalex.org/W2971563979"],"abstract_inverted_index":{"Language":[0],"is":[1,24],"one":[2],"and":[3,30,56,90,105,118],"probably":[4],"most":[5],"important":[6],"means":[7],"for":[8,143],"communication":[9],"between":[10],"human":[11,14,21],"beings.":[12],"The":[13],"emotion":[15,35,49,61],"usually":[16],"accompanies":[17],"with":[18],"speech.":[19,67,83],"So":[20],"speech":[22,47,53,75],"identification":[23],"not":[25],"only":[26],"involving":[27],"language":[28],"syntax":[29],"meaning":[31],"but":[32],"also":[33],"the":[34,44,60,65,69,79,113,123,128,134,144],"at":[36],"that":[37,133],"moment.":[38],"In":[39,68],"this":[40],"paper,":[41],"we":[42,71,131],"study":[43],"long":[45],"sentence":[46,92],"corpus":[48],"recognition":[50,124,139],"using":[51],"various":[52],"segmentation":[54,76],"approaches,":[55],"try":[57],"to":[58,78,127],"detect":[59],"transition":[62],"point":[63],"from":[64],"continuous":[66,80],"experiments,":[70],"apply":[72],"three":[73],"different":[74],"methods":[77,85],"Mandarin":[81],"emotional":[82],"These":[84],"include":[86],"uniform,":[87],"endpoint":[88],"detection,":[89],"whole":[91],"segmentation.":[93],"There":[94],"are":[95],"five":[96],"emotions":[97],"being":[98],"investigated,":[99],"including":[100],"anger,":[101],"happiness,":[102],"sadness,":[103],"boredom,":[104],"neutral.":[106],"We":[107],"then":[108],"employ":[109],"two":[110],"classification":[111],"algorithms,":[112],"conventional":[114],"K-nearest":[115],"neighbor":[116],"(KNN)":[117],"weighted":[119],"discrete-KNN":[120],"(WD-KNN),":[121],"in":[122],"phase.":[125],"From":[126],"experimental":[129],"results,":[130],"find":[132],"WD-KNN":[135],"yields":[136],"an":[137],"average":[138],"rate":[140],"of":[141],"73%":[142],"used":[145],"testing":[146],"sentences.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
