{"id":"https://openalex.org/W2077644276","doi":"https://doi.org/10.1109/iscslp.2014.6936664","title":"Speech emotion classification using acoustic features","display_name":"Speech emotion classification using acoustic features","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2077644276","doi":"https://doi.org/10.1109/iscslp.2014.6936664","mag":"2077644276"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp.2014.6936664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2014.6936664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Symposium on Chinese Spoken Language Processing","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/A5101776086","display_name":"Shizhe Chen","orcid":"https://orcid.org/0000-0002-7313-9703"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shizhe Chen","raw_affiliation_strings":["Multimedia Computing Lab, Renmin University of China","Multimedia Computing Lab, School of Information, Renmin University of China, China"],"affiliations":[{"raw_affiliation_string":"Multimedia Computing Lab, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Multimedia Computing Lab, School of Information, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009985839","display_name":"Qin Jin","orcid":"https://orcid.org/0000-0001-6486-6020"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Jin","raw_affiliation_strings":["Multimedia Computing Lab, Renmin University of China","Multimedia Computing Lab, School of Information, Renmin University of China, China"],"affiliations":[{"raw_affiliation_string":"Multimedia Computing Lab, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Multimedia Computing Lab, School of Information, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060270456","display_name":"Xirong Li","orcid":"https://orcid.org/0000-0002-0220-8310"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xirong Li","raw_affiliation_strings":["Multimedia Computing Lab, Renmin University of China","Multimedia Computing Lab, School of Information, Renmin University of China, China"],"affiliations":[{"raw_affiliation_string":"Multimedia Computing Lab, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Multimedia Computing Lab, School of Information, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002627939","display_name":"Gang Yang","orcid":"https://orcid.org/0000-0003-0765-6769"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Yang","raw_affiliation_strings":["Multimedia Computing Lab, Renmin University of China","Multimedia Computing Lab, School of Information, Renmin University of China, China"],"affiliations":[{"raw_affiliation_string":"Multimedia Computing Lab, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Multimedia Computing Lab, School of Information, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115598762","display_name":"Jieping Xu","orcid":"https://orcid.org/0000-0001-6228-0317"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieping Xu","raw_affiliation_strings":["Multimedia Computing Lab, Renmin University of China","Multimedia Computing Lab, School of Information, Renmin University of China, China"],"affiliations":[{"raw_affiliation_string":"Multimedia Computing Lab, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Multimedia Computing Lab, School of Information, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101776086"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":1.8666,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85443313,"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":"579","last_page":"583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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/T11309","display_name":"Music and Audio Processing","score":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.7831375598907471},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6744635105133057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6122349500656128},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5956432223320007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5676690936088562},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.5557729005813599},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5314568281173706},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5038504004478455},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.5017268657684326},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4783303737640381},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.4416857063770294},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4373076260089874},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4357209801673889}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831375598907471},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6744635105133057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6122349500656128},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5956432223320007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5676690936088562},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.5557729005813599},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5314568281173706},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5038504004478455},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.5017268657684326},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4783303737640381},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.4416857063770294},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4373076260089874},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4357209801673889},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp.2014.6936664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2014.6936664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Symposium on Chinese Spoken Language Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327240","display_name":"Liga Portuguesa Contra o Cancro","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1543320899","https://openalex.org/W1968088764","https://openalex.org/W1987048275","https://openalex.org/W2003837801","https://openalex.org/W2074788634","https://openalex.org/W2085662862","https://openalex.org/W2107789863","https://openalex.org/W2109943925","https://openalex.org/W2140801466","https://openalex.org/W2144037622","https://openalex.org/W2146334809","https://openalex.org/W2147147599","https://openalex.org/W2148822124","https://openalex.org/W2154184457","https://openalex.org/W2156503193","https://openalex.org/W2158596451","https://openalex.org/W2169295472","https://openalex.org/W2397302540","https://openalex.org/W6676071220"],"related_works":["https://openalex.org/W2048014685","https://openalex.org/W2370972896","https://openalex.org/W1549141376","https://openalex.org/W3126677997","https://openalex.org/W2169648905","https://openalex.org/W2061900096","https://openalex.org/W4281557318","https://openalex.org/W4308351423","https://openalex.org/W1550318927","https://openalex.org/W4305042383"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1,26,114,144],"from":[2,35,64,80],"speech":[3],"is":[4],"a":[5,59,75,81,127],"challenging":[6],"research":[7],"area":[8],"with":[9],"wide":[10],"applications.":[11],"In":[12],"this":[13,123,158],"paper":[14],"we":[15],"explore":[16],"one":[17],"of":[18,22,61,77,83,100,146,148],"the":[19,94,101,138,152],"key":[20],"aspects":[21],"building":[23],"an":[24],"emotion":[25,113,143],"system:":[27],"generating":[28],"suitable":[29],"feature":[30],"representation.":[31],"We":[32,108,125],"extract":[33],"features":[34,41,62,67,78,111,136],"four":[36],"angles:":[37],"(1)":[38],"low-level":[39,84],"acoustic":[40,85],"such":[42],"as":[43],"intensity,":[44],"F0,":[45],"jitter,":[46],"shimmer":[47],"and":[48,52,87,116,118],"spectral":[49],"contours":[50],"etc.":[51],"statistical":[53],"functions":[54],"over":[55],"these":[56,110,135],"features,":[57],"(2)":[58],"set":[60,76,82],"derived":[63,79],"segmental":[65],"cepstral-based":[66],"scored":[68],"against":[69],"emotion-dependent":[70],"Gaussian":[71],"mixture":[72,103],"models,":[73],"(3)":[74],"codewords":[86],"(4)":[88],"GMM":[89],"supervectors":[90],"constructed":[91],"by":[92],"stacking":[93],"means":[95],"or":[96,98],"covariance":[97],"weights":[99],"adapted":[102],"components":[104],"on":[105,134,137,157],"each":[106],"utterance.":[107],"apply":[109],"for":[112],"independently":[115],"jointly":[117],"compare":[119],"their":[120],"performance":[121],"within":[122],"task.":[124],"build":[126],"support":[128],"vector":[129],"machine":[130],"(SVM)":[131],"classifier":[132],"based":[133],"IEMOCAP":[139],"database.":[140],"The":[141],"four-class":[142],"accuracy":[145],"71.9%":[147],"our":[149],"system":[150],"outperforms":[151],"previously":[153],"reported":[154],"best":[155],"results":[156],"dataset.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}