{"id":"https://openalex.org/W4293519468","doi":"https://doi.org/10.1109/icme52920.2022.9859862","title":"Speech Emotion Recognition Based on Discriminative Features Extraction","display_name":"Speech Emotion Recognition Based on Discriminative Features Extraction","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293519468","doi":"https://doi.org/10.1109/icme52920.2022.9859862"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859862","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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":["School of Information Science and Technology, Northwest University,China","School of Information Science and Technology, Northwest University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University,China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052197725","display_name":"Jingzhao Hu","orcid":"https://orcid.org/0000-0001-9103-8618"},"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":"Jingzhao Hu","raw_affiliation_strings":["School of Information Science and Technology, Northwest University,China","School of Information Science and Technology, Northwest University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University,China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422843","display_name":"Yutao Liu","orcid":"https://orcid.org/0000-0002-2600-5454"},"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":"Yutao Liu","raw_affiliation_strings":["School of Information Science and Technology, Northwest University,China","School of Information Science and Technology, Northwest University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University,China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071285943","display_name":"Jun Feng","orcid":"https://orcid.org/0000-0002-0706-2103"},"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":["School of Information Science and Technology, Northwest University,China","School of Information Science and Technology, Northwest University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University,China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, 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":2.6094,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91408533,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9987999796867371,"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":0.996999979019165,"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/discriminative-model","display_name":"Discriminative model","score":0.943405270576477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7518983483314514},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6058006286621094},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5926304459571838},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5915243625640869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5192673206329346},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4977586567401886},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.48552751541137695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47731122374534607},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.43658238649368286},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4245010018348694},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.4213971793651581},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.42087873816490173},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.41031455993652344},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1043420135974884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0789649486541748}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.943405270576477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7518983483314514},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6058006286621094},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5926304459571838},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5915243625640869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5192673206329346},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4977586567401886},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.48552751541137695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47731122374534607},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.43658238649368286},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4245010018348694},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.4213971793651581},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.42087873816490173},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.41031455993652344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1043420135974884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0789649486541748},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme52920.2022.9859862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859862","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2238572668","display_name":null,"funder_award_id":"2020YFC1523302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1542637018","https://openalex.org/W2079521622","https://openalex.org/W2087750470","https://openalex.org/W2144723972","https://openalex.org/W2146334809","https://openalex.org/W2295001676","https://openalex.org/W2517194566","https://openalex.org/W2752782242","https://openalex.org/W2889374687","https://openalex.org/W2897067191","https://openalex.org/W2953249574","https://openalex.org/W3015240477","https://openalex.org/W3015267357","https://openalex.org/W3015884429","https://openalex.org/W3015969913","https://openalex.org/W3034296706","https://openalex.org/W3034552520","https://openalex.org/W3138410940","https://openalex.org/W3162589478","https://openalex.org/W3163157357","https://openalex.org/W3191506960","https://openalex.org/W4226382702","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6638444622","https://openalex.org/W6739901393","https://openalex.org/W6764726619"],"related_works":["https://openalex.org/W1550318927","https://openalex.org/W4305042383","https://openalex.org/W2546649374","https://openalex.org/W2773396412","https://openalex.org/W4380854332","https://openalex.org/W2184859701","https://openalex.org/W4380370144","https://openalex.org/W2009950829","https://openalex.org/W4386232293","https://openalex.org/W2382178633"],"abstract_inverted_index":{"In":[0,31],"intelligent":[1],"human-computer":[2],"interaction":[3],"systems,":[4],"speech":[5],"emotion":[6,21,80,99,112,142],"recognition":[7],"(SER)":[8],"is":[9,23,76],"a":[10,36],"fundamental":[11],"task":[12],"for":[13,20,67],"understanding":[14],"user":[15],"intention.":[16],"One":[17],"vital":[18],"challenge":[19],"inferring":[22],"how":[24],"to":[25,55,78,108],"extract":[26,56],"discriminative":[27,57,111],"and":[28,46,65,85,135,144],"robust":[29],"features.":[30],"this":[32],"paper,":[33],"we":[34],"propose":[35],"novel":[37],"network":[38,107],"based":[39],"on":[40,137],"the":[41,47,69,83,89,94,98,101,106,110,115,122,126,130],"Time-Frequency":[42],"Weighting":[43],"(TFW)":[44],"module":[45,75],"ConvlD":[48],"enabled":[49],"Multi-head":[50],"Element-wise":[51],"Self-attention":[52],"(ID-MESA)":[53],"block":[54,103],"features":[58,113],"from":[59],"three":[60],"dimensions":[61,87],"of":[62,97,133],"time,":[63],"frequency":[64,86],"channel":[66,116],"improving":[68],"performance":[70],"in":[71,88,114,125],"SER.":[72],"The":[73,118],"TFW":[74],"designed":[77],"capture":[79],"information":[81],"along":[82],"time":[84],"shallow":[90],"neural":[91],"network.":[92],"As":[93],"high":[95],"complexity":[96],"feature,":[100],"1D-MESA":[102],"can":[104],"assist":[105],"locate":[109],"dimension.":[117],"proposed":[119],"architecture":[120],"outperforms":[121],"state-of-the-art":[123],"methods":[124],"IEMOCAP":[127],"database,":[128],"with":[129],"absolute":[131],"increase":[132],"3.98%":[134],"1.58%":[136],"unweighted":[138],"accuracy":[139],"among":[140],"four":[141],"classes":[143],"weighted":[145],"accuracy,":[146],"respectively.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}