{"id":"https://openalex.org/W2637507649","doi":"https://doi.org/10.1109/icassp.2017.7952658","title":"Speech emotion recognition with ensemble learning methods","display_name":"Speech emotion recognition with ensemble learning methods","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2637507649","doi":"https://doi.org/10.1109/icassp.2017.7952658","mag":"2637507649"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952658","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5108247564","display_name":"Po-Yuan Shih","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Po-Yuan Shih","raw_affiliation_strings":["Computer Science and Engineering, National Sun Yat-sen University, Taiwan ROC"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, National Sun Yat-sen University, Taiwan ROC","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087434278","display_name":"Chia-Ping Chen","orcid":"https://orcid.org/0000-0002-7022-3061"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Ping Chen","raw_affiliation_strings":["Computer Science and Engineering, National Sun Yat-sen University, Taiwan ROC"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, National Sun Yat-sen University, Taiwan ROC","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103251327","display_name":"Chung\u2010Hsien Wu","orcid":"https://orcid.org/0000-0002-3947-2123"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Hsien Wu","raw_affiliation_strings":["Computer Science and Information Engineering, National Chung Kung Univerisity, Tainan, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering, National Chung Kung Univerisity, Tainan, Taiwan, ROC","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108247564"],"corresponding_institution_ids":["https://openalex.org/I142974352"],"apc_list":null,"apc_paid":null,"fwci":0.8705,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76299265,"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":"2756","last_page":"2760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9979000091552734,"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":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.8367804288864136},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6044577360153198},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5462226271629333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.539056658744812},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5276858806610107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.523242175579071},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5134854912757874},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5134295225143433},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4806581735610962},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4805877208709717},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4741080403327942},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46741771697998047},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4525808095932007},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4256115257740021},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42494651675224304},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4151998460292816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8367804288864136},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6044577360153198},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5462226271629333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.539056658744812},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5276858806610107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.523242175579071},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5134854912757874},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5134295225143433},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4806581735610962},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4805877208709717},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4741080403327942},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46741771697998047},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4525808095932007},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4256115257740021},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42494651675224304},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4151998460292816},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952658","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1501669607","https://openalex.org/W1614298861","https://openalex.org/W1987048275","https://openalex.org/W2016661008","https://openalex.org/W2058419974","https://openalex.org/W2085662862","https://openalex.org/W2113249241","https://openalex.org/W2133990480","https://openalex.org/W2153720647","https://openalex.org/W2437695441","https://openalex.org/W6630073874"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4248700453"],"abstract_inverted_index":{"In":[0],"this":[1,63,131],"paper,":[2],"we":[3,81],"propose":[4],"to":[5,13,26,109],"apply":[6],"ensemble":[7],"learning":[8],"methods":[9,48],"on":[10,44,138],"neural":[11],"networks":[12],"improve":[14],"the":[15,38,41,50,55,66,78,93,110,135,141],"performance":[16,80,99,126],"of":[17,40,52,57,90,106,122,134],"speech":[18],"emotion":[19],"recognition":[20],"tasks.":[21],"The":[22],"basic":[23],"idea":[24],"is":[25,71,83,100,127,132],"first":[27],"divide":[28],"unbalanced":[29],"data":[30,53],"set":[31],"into":[32],"balanced":[33],"subsets":[34],"and":[35,54,119],"then":[36],"combine":[37],"predictions":[39,59],"models":[42],"trained":[43],"these":[45],"subsets.":[46],"Several":[47],"regarding":[49],"decomposition":[51],"exploitation":[56],"model":[58],"are":[60],"investigated":[61],"in":[62,73],"study.":[64],"On":[65],"public-domain":[67],"FAU-Aibo":[68,139],"database,":[69],"which":[70],"used":[72],"Interspeech":[74],"Emotion":[75],"Challenge":[76],"evaluation,":[77],"best":[79,136],"achieve":[82],"an":[84,120],"unweighted":[85],"average":[86],"(UA)":[87],"recall":[88],"rate":[89],"45.5%":[91],"for":[92],"5-class":[94],"classification":[95],"task.":[96],"Furthermore,":[97],"such":[98,124],"achieved":[101],"with":[102,113],"a":[103,125],"feature":[104,115],"space":[105],"40-dimension.":[107],"Compared":[108],"baseline":[111],"system":[112],"384-dimension":[114],"vector":[116],"per":[117],"example":[118],"UA":[121],"38.9%,":[123],"very":[128],"impressive.":[129],"Indeed,":[130],"one":[133],"performances":[137],"within":[140],"static":[142],"modeling":[143],"framework.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
