{"id":"https://openalex.org/W4385823311","doi":"https://doi.org/10.21437/interspeech.2023-1236","title":"Emotion Awareness in Multi-utterance Turn for Improving Emotion Prediction in Multi-Speaker Conversation","display_name":"Emotion Awareness in Multi-utterance Turn for Improving Emotion Prediction in Multi-Speaker Conversation","publication_year":2023,"publication_date":"2023-08-14","ids":{"openalex":"https://openalex.org/W4385823311","doi":"https://doi.org/10.21437/interspeech.2023-1236"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2023-1236","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2023-1236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INTERSPEECH 2023","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/A5101796991","display_name":"Xiaohan Shi","orcid":"https://orcid.org/0000-0002-1917-4479"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaohan Shi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101559550","display_name":"Xingfeng Li","orcid":"https://orcid.org/0000-0002-8958-0341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xingfeng Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5078330211","display_name":"Tomoki Toda","orcid":"https://orcid.org/0000-0001-8146-1279"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomoki Toda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6316,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86940084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"765","last_page":"769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.8866999745368958,"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/T12031","display_name":"Speech and dialogue systems","score":0.8866999745368958,"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/conversation","display_name":"Conversation","score":0.9021352529525757},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.9017598628997803},{"id":"https://openalex.org/keywords/turn-taking","display_name":"Turn-taking","score":0.6741644144058228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6613722443580627},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4830470681190491},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4771501421928406},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.4646667242050171},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.42212215065956116},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.394572913646698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3701876103878021},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.344625860452652},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.29402434825897217},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.21535170078277588}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.9021352529525757},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.9017598628997803},{"id":"https://openalex.org/C2776352735","wikidata":"https://www.wikidata.org/wiki/Q2313343","display_name":"Turn-taking","level":3,"score":0.6741644144058228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6613722443580627},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4830470681190491},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4771501421928406},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.4646667242050171},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.42212215065956116},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.394572913646698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3701876103878021},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.344625860452652},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.29402434825897217},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.21535170078277588}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2023-1236","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2023-1236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INTERSPEECH 2023","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2997340161","https://openalex.org/W2136038945","https://openalex.org/W1946464671","https://openalex.org/W2088522790","https://openalex.org/W2804625088","https://openalex.org/W2171511892","https://openalex.org/W1901264808","https://openalex.org/W1901037250","https://openalex.org/W2126085626","https://openalex.org/W4385823311"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
