{"id":"https://openalex.org/W2117181181","doi":"https://doi.org/10.1109/icassp.1986.1169262","title":"Word identification method for Japanese text-to-speech conversion system","display_name":"Word identification method for Japanese text-to-speech conversion system","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2117181181","doi":"https://doi.org/10.1109/icassp.1986.1169262","mag":"2117181181"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1986.1169262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1169262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5045034259","display_name":"Yoshinori Sagisaka","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Sagisaka","raw_affiliation_strings":["Electrical Communications Laboratories, NTT, Japan","NTT Electrical Communications Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Communications Laboratories, NTT, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Electrical Communications Laboratories","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070721158","display_name":"Hirokazu Sato","orcid":"https://orcid.org/0000-0002-9875-3531"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]},{"id":"https://openalex.org/I4210092597","display_name":"NTT (United States)","ror":"https://ror.org/004cn7092","country_code":"US","type":"company","lineage":["https://openalex.org/I2251713219","https://openalex.org/I4210092597"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"H. Sato","raw_affiliation_strings":["Electrical Communications Laboratories, NTT, Japan","Nippon Telegraph & Telephone"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Communications Laboratories, NTT, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"Nippon Telegraph & Telephone","institution_ids":["https://openalex.org/I4210092597"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.22322351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"2411","last_page":"2414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9936000108718872,"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":0.9936000108718872,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9876999855041504,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9735999703407288,"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/computer-science","display_name":"Computer science","score":0.801796555519104},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7418498992919922},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.7291711568832397},{"id":"https://openalex.org/keywords/kana","display_name":"Kana","score":0.7247878909111023},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6435214281082153},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6349835395812988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.601091742515564},{"id":"https://openalex.org/keywords/word-identification","display_name":"Word identification","score":0.5545809268951416},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5451575517654419},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43543845415115356},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.4268140494823456},{"id":"https://openalex.org/keywords/word-recognition","display_name":"Word recognition","score":0.2021595537662506},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.15246734023094177},{"id":"https://openalex.org/keywords/kanji","display_name":"Kanji","score":0.14682993292808533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13449722528457642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.801796555519104},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7418498992919922},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7291711568832397},{"id":"https://openalex.org/C158885319","wikidata":"https://www.wikidata.org/wiki/Q187659","display_name":"Kana","level":4,"score":0.7247878909111023},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6435214281082153},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6349835395812988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.601091742515564},{"id":"https://openalex.org/C2994428975","wikidata":"https://www.wikidata.org/wiki/Q8034367","display_name":"Word identification","level":4,"score":0.5545809268951416},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5451575517654419},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43543845415115356},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.4268140494823456},{"id":"https://openalex.org/C150856459","wikidata":"https://www.wikidata.org/wiki/Q8034367","display_name":"Word recognition","level":3,"score":0.2021595537662506},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15246734023094177},{"id":"https://openalex.org/C83535845","wikidata":"https://www.wikidata.org/wiki/Q82772","display_name":"Kanji","level":3,"score":0.14682993292808533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13449722528457642},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1986.1169262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1169262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W167883943","https://openalex.org/W2017300855","https://openalex.org/W2480794579","https://openalex.org/W2575233427","https://openalex.org/W4285719527","https://openalex.org/W6722151796","https://openalex.org/W6732286917"],"related_works":["https://openalex.org/W1992616322","https://openalex.org/W2036873286","https://openalex.org/W4283746496","https://openalex.org/W2408487574","https://openalex.org/W2364032347","https://openalex.org/W438210688","https://openalex.org/W3032649931","https://openalex.org/W2413876267","https://openalex.org/W2254342526","https://openalex.org/W2949769632"],"abstract_inverted_index":{"A":[0],"new":[1],"word":[2,29,64,115,122,141],"identification":[3,38,55,142],"method":[4,82,143],"is":[5,40,144],"proposed":[6,140],"to":[7,57,83,146],"determine":[8],"text":[9],"readings":[10],"and":[11,74,118],"their":[12],"accentuation":[13],"for":[14],"Japanese":[15,20,59,85,151],"text-to-speech":[16,152],"conversion":[17,153],"system.":[18,154],"Since":[19],"writing":[21,60],"characteristics":[22,61],"results":[23],"in":[24,53,149],"an":[25],"enormous":[26],"number":[27,36,68],"of":[28,33,37,88,92,105],"candidates,":[30],"a":[31,43,150],"technique":[32],"reducing":[34],"the":[35,54,93,106,114,121,139],"trials":[39],"introduced":[41],"employing":[42],"dynamic":[44],"programming":[45],"method.":[46],"Moreover,":[47],"plausibility":[48],"evaluation":[49],"functions":[50],"are":[51],"utilized":[52],"algorithm":[56],"reflect":[58],":":[62],"grammatical":[63],"transition":[65,116],"tendency,":[66],"phrase":[67],"minimization":[69],"principle,":[70],"longest":[71],"matching":[72],"advantage":[73],"unusual":[75],"kana(Japanese":[76],"syllabary)":[77],"expression":[78],"penalty.":[79],"Applying":[80],"this":[81,137],"299":[84],"sentences":[86],"consisting":[87],"6867":[89],"words,":[90],"95.2%":[91],"words":[94],"were":[95],"correctly":[96],"identified.":[97],"Further":[98],"precise":[99],"analysis":[100],"confirms":[101],"that":[102],"about":[103],"two-thirds":[104],"errors":[107,126],"can":[108,128],"be":[109,129,147],"easily":[110],"corrected":[111],"by":[112,119,132],"revising":[113],"networks":[117],"enriching":[120],"dictionaries.":[123],"The":[124],"remaining":[125],"however":[127],"recovered":[130],"only":[131],"fine":[133],"semantic":[134],"analysis.":[135],"Through":[136],"experiment,":[138],"shown":[145],"useful":[148]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
