{"id":"https://openalex.org/W4403977054","doi":"https://doi.org/10.1109/access.2024.3490186","title":"GFRN-SEA: Global-Aware Feature Representation Network for Speech Emotion Analysis","display_name":"GFRN-SEA: Global-Aware Feature Representation Network for Speech Emotion Analysis","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403977054","doi":"https://doi.org/10.1109/access.2024.3490186"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3490186","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3490186","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3490186","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lei Pan","orcid":"https://orcid.org/0009-0006-2292-410X"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Pan","raw_affiliation_strings":["School of Computer Engineering, Nanjing Institute of Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0006-2292-410X","affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanjing Institute of Technology, Nanjing, China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081619966","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-0896-9444"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["School of Computer Engineering, Nanjing Institute of Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanjing Institute of Technology, Nanjing, China","institution_ids":["https://openalex.org/I2799736854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2799736854"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8335,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78168115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"161500","last_page":"161518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9089000225067139,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9089000225067139,"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":0.801464319229126},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5707218050956726},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5694098472595215},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4653663635253906},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4547015130519867},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39385122060775757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36933642625808716},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07848602533340454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.801464319229126},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5707218050956726},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5694098472595215},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4653663635253906},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4547015130519867},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39385122060775757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36933642625808716},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07848602533340454},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3490186","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3490186","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c77b14f946464298bd516d7e31be7fd1","is_oa":true,"landing_page_url":"https://doaj.org/article/c77b14f946464298bd516d7e31be7fd1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 161500-161518 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3490186","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3490186","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1649788968","display_name":null,"funder_award_id":"CKJB202107","funder_id":"https://openalex.org/F4320324885","funder_display_name":"Nanjing Institute of Technology"},{"id":"https://openalex.org/G3674274964","display_name":null,"funder_award_id":"3544113221109","funder_id":"https://openalex.org/F4320324885","funder_display_name":"Nanjing Institute of Technology"},{"id":"https://openalex.org/G3819997690","display_name":null,"funder_award_id":"3612407222302","funder_id":"https://openalex.org/F4320324885","funder_display_name":"Nanjing Institute of Technology"},{"id":"https://openalex.org/G7850465009","display_name":null,"funder_award_id":"3612407223538","funder_id":"https://openalex.org/F4320324885","funder_display_name":"Nanjing Institute of Technology"}],"funders":[{"id":"https://openalex.org/F4320324885","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1686810756","https://openalex.org/W1923034539","https://openalex.org/W2146334809","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2295001676","https://openalex.org/W2360384684","https://openalex.org/W2399733683","https://openalex.org/W2598207902","https://openalex.org/W2618530766","https://openalex.org/W2806051338","https://openalex.org/W2889374687","https://openalex.org/W2890964092","https://openalex.org/W2936113082","https://openalex.org/W2963686995","https://openalex.org/W2963800675","https://openalex.org/W2964216663","https://openalex.org/W2972498864","https://openalex.org/W2973110385","https://openalex.org/W2973181312","https://openalex.org/W3015906487","https://openalex.org/W3015969913","https://openalex.org/W3016232306","https://openalex.org/W3081192838","https://openalex.org/W3095251683","https://openalex.org/W3095435288","https://openalex.org/W3096723250","https://openalex.org/W3136524425","https://openalex.org/W3139270985","https://openalex.org/W3162160536","https://openalex.org/W3162475537","https://openalex.org/W3163054043","https://openalex.org/W3197977579","https://openalex.org/W3209059054","https://openalex.org/W4200602804","https://openalex.org/W4221162872","https://openalex.org/W4223460604","https://openalex.org/W4226017535","https://openalex.org/W4295957212","https://openalex.org/W4296523924","https://openalex.org/W4299280181","https://openalex.org/W4303649252","https://openalex.org/W4313887688","https://openalex.org/W4361994820","https://openalex.org/W4372259942","https://openalex.org/W4372260013","https://openalex.org/W4372269797","https://openalex.org/W4375869114","https://openalex.org/W4375869379","https://openalex.org/W4377009115","https://openalex.org/W4385245566","https://openalex.org/W4385807537","https://openalex.org/W4385822846","https://openalex.org/W4387789875","https://openalex.org/W4388962499","https://openalex.org/W4392172995","https://openalex.org/W4392903113","https://openalex.org/W4392903825","https://openalex.org/W4402669711","https://openalex.org/W6637373629","https://openalex.org/W6750449527","https://openalex.org/W6761247321","https://openalex.org/W6764265052","https://openalex.org/W6767636311","https://openalex.org/W6780218876","https://openalex.org/W6846807982"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W3147584709","https://openalex.org/W2795079307","https://openalex.org/W2977677679","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"With":[0],"the":[1,71,87,96,103,109,146,160,182,194,198,203],"rapid":[2],"advancement":[3],"of":[4,57,95,102,143,197,206],"artificial":[5],"intelligence":[6],"and":[7,27,66,82,99,116,131,137,166,170,176,208,212],"machine":[8],"learning,":[9],"speech":[10],"emotion":[11,178],"recognition":[12,179],"(SER)":[13],"holds":[14],"significant":[15],"potential":[16],"across":[17,164],"various":[18],"applications.":[19],"Despite":[20],"progress,":[21],"challenges":[22],"persist":[23],"in":[24],"effectively":[25,154],"extracting":[26],"fusing":[28],"deep":[29],"features":[30,101,157,172,184],"from":[31,135],"original":[32],"audio":[33,58,84,104],"data.":[34],"This":[35,121],"paper":[36],"presents":[37],"a":[38,48,74,79,92,114,188],"Global-Aware":[39],"Feature":[40],"Representation":[41],"Network":[42],"for":[43],"Speech":[44],"Emotion":[45],"Analysis":[46],"(GFRN-SEA),":[47],"novel":[49],"SER":[50],"model":[51],"that":[52],"integrates":[53],"three":[54],"distinct":[55],"levels":[56],"features:":[59],"Mel-Frequency":[60],"Cepstral":[61],"Coefficients":[62],"(MFCC),":[63],"spectrogram":[64,72,136],"features,":[65,111],"HuBERT":[67,88,171],"features.":[68,139],"By":[69],"processing":[70],"through":[73,78,86],"ResNet":[75],"encoder,":[76,81],"MFCC":[77,138],"BiLSTM":[80],"raw":[83],"waveforms":[85],"model,":[89],"we":[90],"ensure":[91],"comprehensive":[93],"capture":[94],"temporal,":[97],"spatial,":[98],"spatiotemporal":[100],"signal.":[105],"To":[106],"further":[107],"refine":[108],"extracted":[110,156],"GFRN-SEA":[112,144],"introduces":[113],"Multi-dimensional":[115],"Multi-scale":[117],"(MDMS)":[118],"convolution":[119],"module.":[120],"module":[122],"applies":[123],"convolutions":[124],"at":[125],"multiple":[126],"scales,":[127],"capturing":[128],"fine-grained":[129],"details":[130],"broader":[132],"contextual":[133],"information":[134,163],"Another":[140],"key":[141],"component":[142],"is":[145],"multi-layer":[147],"cross":[148],"attention":[149],"(MLCA)":[150],"mechanism.":[151],"The":[152],"MLCA":[153],"fuses":[155],"by":[158],"emphasizing":[159],"most":[161],"relevant":[162],"modalities":[165],"integrating":[167],"spectrogram,":[168],"MFCC,":[169],"to":[173,192],"enhance":[174],"synergy":[175],"improve":[177],"performance.":[180],"Finally,":[181],"fused":[183],"are":[185],"input":[186],"into":[187],"fully":[189],"connected":[190],"layer":[191],"classify":[193],"emotional":[195],"state":[196],"speaker.":[199],"Our":[200],"method":[201],"leverages":[202],"complementary":[204],"strengths":[205],"multi-dimension":[207],"multi-scale":[209],"feature":[210],"extraction":[211],"sophisticated":[213],"fusion":[214],"techniques,":[215],"achieving":[216],"state-of-the-art":[217],"performance":[218],"on":[219],"four":[220],"mainstream":[221],"public":[222],"datasets.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
