{"id":"https://openalex.org/W2786447067","doi":"https://doi.org/10.1109/apsipa.2017.8282177","title":"Automatic meeting transcription system for the Japanese parliament (diet)","display_name":"Automatic meeting transcription system for the Japanese parliament (diet)","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2786447067","doi":"https://doi.org/10.1109/apsipa.2017.8282177","mag":"2786447067"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2017.8282177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038044080","display_name":"Tatsuya Kawahara","orcid":"https://orcid.org/0000-0002-2686-2296"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tatsuya Kawahara","raw_affiliation_strings":["Kyoto University, School of Informatics, Sakyo-ku, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, School of Informatics, Sakyo-ku, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038044080"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1006","last_page":"1010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.998199999332428,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.998199999332428,"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/T10028","display_name":"Topic Modeling","score":0.9901999831199646,"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/T12031","display_name":"Speech and dialogue systems","score":0.9872000217437744,"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/parliament","display_name":"Parliament","score":0.7753230333328247},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.5687400102615356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5244153738021851},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.19266647100448608},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.11869186162948608},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.09458670020103455}],"concepts":[{"id":"https://openalex.org/C2781440851","wikidata":"https://www.wikidata.org/wiki/Q35749","display_name":"Parliament","level":3,"score":0.7753230333328247},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.5687400102615356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5244153738021851},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.19266647100448608},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.11869186162948608},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.09458670020103455},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2017.8282177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6000000238418579,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W98917718","https://openalex.org/W157135116","https://openalex.org/W851005513","https://openalex.org/W1531348272","https://openalex.org/W1654858490","https://openalex.org/W2097931979","https://openalex.org/W2098318492","https://openalex.org/W2099424804","https://openalex.org/W2114168002","https://openalex.org/W2119288553","https://openalex.org/W2132603781","https://openalex.org/W2140914930","https://openalex.org/W2143577772","https://openalex.org/W2153773386","https://openalex.org/W2161966221","https://openalex.org/W2169384404","https://openalex.org/W2169710708","https://openalex.org/W6623519406","https://openalex.org/W6654940675","https://openalex.org/W6680972403","https://openalex.org/W6684930139"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2023822311","https://openalex.org/W4252661029","https://openalex.org/W2375791221","https://openalex.org/W2254312451","https://openalex.org/W4365503523","https://openalex.org/W2097613883","https://openalex.org/W1993798603","https://openalex.org/W589623597","https://openalex.org/W3126686595"],"abstract_inverted_index":{"Applications":[0],"of":[1,12,54,77],"automatic":[2],"speech":[3],"recognition":[4],"(ASR)":[5],"have":[6,21,48],"been":[7,33],"extended":[8],"to":[9,69],"a":[10],"variety":[11],"tasks":[13],"and":[14,56,65,81],"domains,":[15],"including":[16],"spontaneous":[17],"human-human":[18],"speech.":[19],"We":[20],"developed":[22],"an":[23,50,75],"ASR":[24],"system":[25,79],"for":[26],"the":[27,78,85,91],"Japanese":[28],"Pariliament":[29],"(Diet),":[30],"which":[31,59],"has":[32],"operated":[34],"every":[35],"day":[36],"since":[37],"2011.":[38],"By":[39],"exploiting":[40],"official":[41],"records":[42],"made":[43],"by":[44],"human":[45],"stenographers,":[46],"we":[47],"realized":[49],"efficient":[51],"training":[52],"scheme":[53],"acoustic":[55],"language":[57],"models,":[58],"does":[60],"not":[61],"require":[62],"faithful":[63],"transcripts":[64],"thus":[66],"is":[67],"scalable":[68],"enormous":[70],"data.":[71],"This":[72],"article":[73],"gives":[74],"overview":[76],"performance":[80],"how":[82],"it":[83],"changed":[84],"meeting":[86],"record":[87],"generation":[88],"process":[89],"in":[90],"Parliament.":[92]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
