{"id":"https://openalex.org/W4372267851","doi":"https://doi.org/10.1109/icassp49357.2023.10095566","title":"Speech Emotion Recognition via Heterogeneous Feature Learning","display_name":"Speech Emotion Recognition via Heterogeneous Feature Learning","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372267851","doi":"https://doi.org/10.1109/icassp49357.2023.10095566"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"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/A5100349835","display_name":"Ke Liu","orcid":"https://orcid.org/0000-0001-8151-4326"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Liu","raw_affiliation_strings":["Northwest University,School of Information Science and Technology,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest University,School of Information Science and Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076984427","display_name":"Dongya Wu","orcid":"https://orcid.org/0000-0002-2310-3243"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"DongYa Wu","raw_affiliation_strings":["Northwest University,School of Information Science and Technology,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest University,School of Information Science and Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055174340","display_name":"Dekui Wang","orcid":"https://orcid.org/0000-0003-4783-446X"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dekui Wang","raw_affiliation_strings":["Northwest University,School of Information Science and Technology,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest University,School of Information Science and Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002937692","display_name":"Jun Feng","orcid":"https://orcid.org/0000-0001-9917-1819"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Feng","raw_affiliation_strings":["Northwest University,School of Information Science and Technology,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest University,School of Information Science and Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I37802460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37802460"],"apc_list":null,"apc_paid":null,"fwci":2.1129,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8879056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"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":0.9993000030517578,"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/T10860","display_name":"Speech and Audio Processing","score":0.9991999864578247,"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":0.9991999864578247,"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":0.7851396799087524},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.763823390007019},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7073452472686768},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.676005482673645},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.6564245223999023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.565057098865509},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5492687821388245},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5358425974845886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5236266255378723},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.47488850355148315},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4168988764286041},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32413995265960693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851396799087524},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.763823390007019},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7073452472686768},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.676005482673645},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6564245223999023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.565057098865509},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5492687821388245},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5358425974845886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5236266255378723},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.47488850355148315},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4168988764286041},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32413995265960693},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/icassp49357.2023.10095566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2043929537","https://openalex.org/W2146334809","https://openalex.org/W2187089797","https://openalex.org/W2191779130","https://openalex.org/W2590019597","https://openalex.org/W2885005742","https://openalex.org/W2899663614","https://openalex.org/W2963420686","https://openalex.org/W3005916310","https://openalex.org/W3015489952","https://openalex.org/W3036601975","https://openalex.org/W3095789936","https://openalex.org/W3122931219","https://openalex.org/W3126560186","https://openalex.org/W3155427814","https://openalex.org/W3160039712","https://openalex.org/W3162475537","https://openalex.org/W3174954176","https://openalex.org/W3197642003","https://openalex.org/W3215440557","https://openalex.org/W4205383840","https://openalex.org/W4221162872","https://openalex.org/W4293519468","https://openalex.org/W4312402009","https://openalex.org/W4385245566","https://openalex.org/W6638444622","https://openalex.org/W6739901393","https://openalex.org/W6743731764","https://openalex.org/W6755977528","https://openalex.org/W6780218876","https://openalex.org/W6790202116"],"related_works":["https://openalex.org/W2990982991","https://openalex.org/W4317383455","https://openalex.org/W2548511587","https://openalex.org/W2422472940","https://openalex.org/W2019475500","https://openalex.org/W2548162870","https://openalex.org/W3119773509","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661"],"abstract_inverted_index":{"Speech":[0],"emotion":[1],"recognition":[2],"(SER)":[3],"based":[4,70],"on":[5,12,22,117],"multi-view":[6],"learning":[7],"has":[8],"made":[9],"some":[10],"progress":[11],"speaker-independent":[13,119],"scenarios.":[14],"How-ever,":[15],"the":[16,28,47,51,56,61,84,124,129],"existing":[17],"SER":[18],"methods":[19],"always":[20],"rely":[21],"excessive":[23],"feature":[24,32,53,57,103,130],"views":[25],"and":[26,55,122],"ignore":[27],"importance":[29],"of":[30],"heterogeneous":[31,48],"learning.":[33,112],"In":[34],"this":[35],"paper,":[36],"we":[37,65],"propose":[38],"a":[39,101],"novel":[40],"multi-level":[41],"attention":[42],"method":[43,116],"to":[44,76,91],"effectively":[45],"learn":[46,93],"information":[49],"from":[50,60,81],"hand-crafted":[52],"(MFCC)":[54],"(W2V2)":[58],"extracted":[59],"pre-trained":[62],"model.":[63],"Specifically,":[64],"first":[66],"design":[67],"an":[68],"Attention":[69,86],"Multi-scale":[71],"Low-level":[72],"Feature":[73],"(A-MLF)":[74],"extractor":[75],"extract":[77],"scale-specific":[78],"emotion-related":[79],"regions":[80],"MFCC.":[82],"Then,":[83],"Multi-Unit":[85],"(MUA)":[87],"module":[88],"is":[89,106],"used":[90,107],"simultaneously":[92],"discriminative":[94],"features":[95],"in":[96],"three":[97],"different":[98],"dimensions.":[99],"Finally,":[100],"two-stage":[102],"fusion":[104],"strategy":[105],"for":[108],"joint":[109],"representation":[110],"space":[111],"We":[113],"demonstrate":[114],"our":[115],"two":[118],"validation":[120],"strategies":[121],"interpret":[123],"SOTA":[125],"performance":[126],"by":[127],"visualizing":[128],"distribution.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
