{"id":"https://openalex.org/W4406859002","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10849092","title":"Can We Estimate Purchase Intention Based on Zero-shot Speech Emotion Recognition?","display_name":"Can We Estimate Purchase Intention Based on Zero-shot Speech Emotion Recognition?","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406859002","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10849092"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc63619.2025.10849092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10849092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5001641384","display_name":"Ryotaro Nagase","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryotaro Nagase","raw_affiliation_strings":["Hitachi, Ltd,Japan"],"affiliations":[{"raw_affiliation_string":"Hitachi, Ltd,Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084618194","display_name":"Takashi Sumiyoshi","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Sumiyoshi","raw_affiliation_strings":["Hitachi, Ltd,Japan"],"affiliations":[{"raw_affiliation_string":"Hitachi, Ltd,Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018847693","display_name":"Natsuo Yamashita","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Natsuo Yamashita","raw_affiliation_strings":["Hitachi, Ltd,Japan"],"affiliations":[{"raw_affiliation_string":"Hitachi, Ltd,Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004979745","display_name":"Kota Dohi","orcid":"https://orcid.org/0000-0001-6478-6792"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kota Dohi","raw_affiliation_strings":["Hitachi, Ltd,Japan"],"affiliations":[{"raw_affiliation_string":"Hitachi, Ltd,Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052394367","display_name":"Yohei Kawaguchi","orcid":"https://orcid.org/0000-0002-2329-5441"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yohei Kawaguchi","raw_affiliation_strings":["Hitachi, Ltd,Japan"],"affiliations":[{"raw_affiliation_string":"Hitachi, Ltd,Japan","institution_ids":["https://openalex.org/I65143321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001641384"],"corresponding_institution_ids":["https://openalex.org/I65143321"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38752796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T13169","display_name":"Consumer Perception and Purchasing Behavior","score":0.7405999898910522,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13169","display_name":"Consumer Perception and Purchasing Behavior","score":0.7405999898910522,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.6711012125015259},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6660643815994263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6504057049751282},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6323116421699524},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5706182718276978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35126805305480957},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32462796568870544},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0647643506526947}],"concepts":[{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.6711012125015259},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6660643815994263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6504057049751282},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6323116421699524},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5706182718276978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35126805305480957},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32462796568870544},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0647643506526947},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc63619.2025.10849092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10849092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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":14,"referenced_works":["https://openalex.org/W2087779800","https://openalex.org/W2134707158","https://openalex.org/W2904901514","https://openalex.org/W2972883999","https://openalex.org/W2979826702","https://openalex.org/W3040201034","https://openalex.org/W3161003523","https://openalex.org/W3209059054","https://openalex.org/W4225635674","https://openalex.org/W4372266552","https://openalex.org/W4375868872","https://openalex.org/W4375869379","https://openalex.org/W4392903074","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"This":[0,110],"paper":[1],"proposes":[2],"a":[3,30,98],"zero-shot":[4,107,129],"speech":[5,121],"emotion":[6,100],"recognition":[7],"(SER)":[8],"method":[9,76,134],"that":[10,125],"estimates":[11],"emotions":[12,27,42],"not":[13,52],"previously":[14],"defined":[15,28],"in":[16],"the":[17,36,60,79,103,113,126,132,137,143],"SER":[18],"model":[19,61,144],"training.":[20],"Conventional":[21],"methods":[22],"are":[23,135],"limited":[24],"to":[25,38,47,54,58,62,69,106,116],"recognizing":[26],"by":[29,85,131,146],"single":[31],"word.":[32],"Moreover,":[33],"we":[34],"have":[35],"motivation":[37],"recognize":[39],"unknown":[40,71],"bipolar":[41,72,99],"such":[43],"as":[44,97,140],"\"I":[45],"want":[46,53],"buy":[48],"-":[49],"I":[50],"do":[51],"buy.\"":[55],"In":[56],"order":[57],"allow":[59],"define":[63],"classes":[64],"using":[65],"sentences":[66],"freely":[67],"and":[68,88,101],"estimate":[70,108,117],"emotions,":[73],"our":[74],"proposed":[75,133],"expands":[77],"upon":[78],"contrastive":[80],"language-audio":[81],"pre-training":[82],"(CLAP)":[83],"framework":[84],"introducing":[86],"multi-class":[87],"multi-task":[89],"settings.":[90],"We":[91],"also":[92],"focus":[93],"on":[94],"purchase":[95,118],"intention":[96,119],"investigate":[102],"model\u2019s":[104],"performance":[105],"it.":[109],"study":[111],"is":[112],"first":[114],"attempt":[115],"from":[120],"directly.":[122],"Experiments":[123],"confirm":[124],"results":[127],"of":[128,142],"estimation":[130],"at":[136],"same":[138],"level":[139],"those":[141],"trained":[145],"supervised":[147],"learning.":[148]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
