{"id":"https://openalex.org/W2921108658","doi":"https://doi.org/10.23919/apsipa.2018.8659535","title":"A Prediction Model for End-of-Utterance Based on Prosodic Features and Phrase-Dependency in Spontaneous Japanese","display_name":"A Prediction Model for End-of-Utterance Based on Prosodic Features and Phrase-Dependency in Spontaneous Japanese","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2921108658","doi":"https://doi.org/10.23919/apsipa.2018.8659535","mag":"2921108658"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659535","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5034838827","display_name":"Yuichi Ishimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuichi Ishimoto","raw_affiliation_strings":["Tokyo University of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I148798404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032243693","display_name":"Takehiro Teraoka","orcid":null},"institutions":[{"id":"https://openalex.org/I7377986","display_name":"Takushoku University","ror":"https://ror.org/05qh38f12","country_code":"JP","type":"education","lineage":["https://openalex.org/I7377986"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takehiro Teraoka","raw_affiliation_strings":["Takushoku University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Takushoku University, Tokyo, Japan","institution_ids":["https://openalex.org/I7377986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111521585","display_name":"Mika Enomoto","orcid":null},"institutions":[{"id":"https://openalex.org/I7377986","display_name":"Takushoku University","ror":"https://ror.org/05qh38f12","country_code":"JP","type":"education","lineage":["https://openalex.org/I7377986"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mika Enomoto","raw_affiliation_strings":["Takushoku University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Takushoku University, Tokyo, Japan","institution_ids":["https://openalex.org/I7377986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034838827"],"corresponding_institution_ids":["https://openalex.org/I148798404"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18980603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1782","last_page":"1786"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9994999766349792,"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":0.9994999766349792,"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/T10383","display_name":"Language, Discourse, Communication Strategies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11148","display_name":"Language, Metaphor, and Cognition","score":0.9842000007629395,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.856295108795166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7072386741638184},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.6639885902404785},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6364687085151672},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5770806670188904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.520433247089386},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5084423422813416},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4975745975971222},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.415330708026886},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.33378714323043823}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.856295108795166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7072386741638184},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6639885902404785},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6364687085151672},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5770806670188904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.520433247089386},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5084423422813416},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4975745975971222},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.415330708026886},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.33378714323043823},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659535","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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":12,"referenced_works":["https://openalex.org/W95890550","https://openalex.org/W1547057154","https://openalex.org/W1547352112","https://openalex.org/W2010835028","https://openalex.org/W2153190547","https://openalex.org/W2237495196","https://openalex.org/W2397139002","https://openalex.org/W2404086927","https://openalex.org/W2611434464","https://openalex.org/W2724311618","https://openalex.org/W2746424190","https://openalex.org/W6603862112"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W3177678247","https://openalex.org/W1999617572","https://openalex.org/W2944572343","https://openalex.org/W2333799855","https://openalex.org/W2351687372","https://openalex.org/W2004087835","https://openalex.org/W2358868262"],"abstract_inverted_index":{"This":[0,153],"study":[1],"aims":[2],"to":[3,28,43,56,127,151,169],"reveal":[4],"a":[5,26,72,94,106,123],"clue":[6,113],"for":[7,81,164],"predicting":[8],"end-of-utterance":[9],"in":[10,96,148],"spontaneous":[11],"Japanese":[12],"speech.":[13],"In":[14,60],"casual":[15],"everyday":[16],"conversation,":[17],"participants":[18,52],"must":[19],"predict":[20,57,170],"the":[21,45,58,66,88,91,116,129,133,141,156,171],"ends":[22,172],"of":[23,25,47,49,93,118,140,159,173],"utterances":[24],"speaker":[27,166],"perform":[29],"smooth":[30],"turn-taking":[31],"with":[32],"small":[33],"gaps":[34],"or":[35],"overlaps.":[36],"Syntactic":[37],"and":[38,51,75,78,99,135,161],"prosodic":[39,84,136,145,162],"factors":[40,55],"are":[41,167],"considered":[42],"project":[44],"end":[46],"utterance":[48,98],"speech,":[50],"utilize":[53],"these":[54,100],"end-of-utterance.":[59],"this":[61],"paper,":[62],"we":[63,121],"focused":[64],"on":[65],"dependency":[67],"structure":[68],"among":[69],"bunsetsu-phrases":[70,82],"as":[71,83],"syntactic":[73,134,160],"feature":[74,108],"F0,":[76],"intensity,":[77],"mora":[79],"duration":[80],"features.":[85,101,137],"We":[86],"investigated":[87],"relationship":[89],"between":[90],"position":[92,117,131],"bunsetsu-phrase":[95,130],"an":[97,111],"The":[102,138],"results":[103,139],"showed":[104],"that":[105,114,144,155],"single":[107],"cannot":[109],"be":[110],"authoritative":[112],"determines":[115],"bunsetsu-phrases.":[119],"Next,":[120],"constructed":[122],"Bayesian":[124],"hierarchical":[125],"model":[126,142],"estimate":[128],"from":[132],"indicated":[143],"features":[146,163],"vary":[147],"usefulness":[149],"according":[150],"speakers.":[152],"suggests":[154],"different":[157],"combinations":[158],"each":[165],"relevant":[168],"utterances.":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
