{"id":"https://openalex.org/W4401808502","doi":"https://doi.org/10.1109/atsip62566.2024.10638918","title":"Cross-Lingual Transfert Learning for Speech Emotion Recognition","display_name":"Cross-Lingual Transfert Learning for Speech Emotion Recognition","publication_year":2024,"publication_date":"2024-07-11","ids":{"openalex":"https://openalex.org/W4401808502","doi":"https://doi.org/10.1109/atsip62566.2024.10638918"},"language":"en","primary_location":{"id":"doi:10.1109/atsip62566.2024.10638918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip62566.2024.10638918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)","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/A5104453278","display_name":"Imen Baklouti","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]},{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Imen Baklouti","raw_affiliation_strings":["University of Poitiers,XLIM,France"],"affiliations":[{"raw_affiliation_string":"University of Poitiers,XLIM,France","institution_ids":["https://openalex.org/I4210093397","https://openalex.org/I32881790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111298712","display_name":"Olfa Ben Ahmed","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]},{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olfa Ben Ahmed","raw_affiliation_strings":["University of Poitiers,XLIM,France"],"affiliations":[{"raw_affiliation_string":"University of Poitiers,XLIM,France","institution_ids":["https://openalex.org/I4210093397","https://openalex.org/I32881790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051469532","display_name":"Raoudha Baklouti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raoudha Baklouti","raw_affiliation_strings":["University of Poitiers,ATMS,Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Poitiers,ATMS,Tunisia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049637018","display_name":"Christine Fernandez","orcid":"https://orcid.org/0000-0003-2829-4808"},"institutions":[{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]},{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Fernandez","raw_affiliation_strings":["University of Poitiers,XLIM,France"],"affiliations":[{"raw_affiliation_string":"University of Poitiers,XLIM,France","institution_ids":["https://openalex.org/I4210093397","https://openalex.org/I32881790"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5104453278"],"corresponding_institution_ids":["https://openalex.org/I32881790","https://openalex.org/I4210093397"],"apc_list":null,"apc_paid":null,"fwci":1.0866,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81043573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"559","last_page":"563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9980000257492065,"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":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9976999759674072,"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":0.9962000250816345,"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":0.6926807165145874},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6671735048294067},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3948390483856201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39230841398239136},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3249351978302002}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6926807165145874},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6671735048294067},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3948390483856201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39230841398239136},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3249351978302002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/atsip62566.2024.10638918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip62566.2024.10638918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1604264128","https://openalex.org/W1964940342","https://openalex.org/W2052384514","https://openalex.org/W2140793254","https://openalex.org/W2255466643","https://openalex.org/W2778455075","https://openalex.org/W2966269089","https://openalex.org/W2972691009","https://openalex.org/W2997700007","https://openalex.org/W3008039831","https://openalex.org/W3012473796","https://openalex.org/W3022013598","https://openalex.org/W3028860956","https://openalex.org/W3212092216","https://openalex.org/W4200602804","https://openalex.org/W4210796791","https://openalex.org/W4221046698","https://openalex.org/W4293649366","https://openalex.org/W4312119444","https://openalex.org/W6774704184"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Cross-lingual":[0],"Speech":[1],"Emotion":[2],"Recognition":[3],"(SER),":[4],"remains":[5],"a":[6,25],"challenge":[7],"in":[8,84],"real-world":[9],"applications":[10],"due":[11],"to":[12],"the":[13,30,40],"availability":[14],"of":[15,42,49,107],"few":[16],"labeled":[17],"and":[18,24,32,60,68,82,87,90,97,116],"many":[19],"unlabeled":[20],"features":[21,53],"for":[22],"datasets":[23],"large":[26],"shift":[27],"distributions":[28],"between":[29],"source":[31],"target":[33],"domains.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"study":[39,73],"performance":[41],"cross-linguistic":[43],"transfer":[44],"learning":[45,51,54,62],"through":[46],"different":[47],"approaches":[48],"feature":[50],"namely":[52],"with":[55],"Convolutional":[56],"Neural":[57],"Networks":[58],"(CNN)":[59],"hybrid":[61],"using":[63,92],"hand-crafted":[64],"2D":[65],"mel-spectrogram":[66],"images":[67],"deep":[69],"neural":[70],"networks.":[71],"The":[72,102],"results":[74],"are":[75],"evaluated":[76],"by":[77],"three":[78],"datasets:":[79],"Iemocap,":[80],"Ravdess":[81],"EmoDB":[83],"both":[85],"single":[86],"cross-corpus":[88],"settings":[89],"compared":[91],"accuracy,":[93],"loss,":[94],"classification":[95],"reports":[96],"confusion":[98],"matrix":[99],"evaluation":[100],"metrics.":[101],"model":[103],"achieved":[104],"an":[105],"accuracy":[106],"$82":[108],"\\%$":[109,113,118],"on":[110,114,119],"Ravdess,":[111],"$83":[112],"Emodb":[115],"$78":[117],"IEMOCAP.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
