{"id":"https://openalex.org/W117508248","doi":"https://doi.org/10.21437/interspeech.2007-121","title":"Unsupervised training of adaptation rate using q-learning in large vocabulary continuous speech recognition","display_name":"Unsupervised training of adaptation rate using q-learning in large vocabulary continuous speech recognition","publication_year":2007,"publication_date":"2007-08-27","ids":{"openalex":"https://openalex.org/W117508248","doi":"https://doi.org/10.21437/interspeech.2007-121","mag":"117508248"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2007-121","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","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/A5109009818","display_name":"Masafumi Nishida","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masafumi Nishida","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110633678","display_name":"Yasuo Horiuchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yasuo Horiuchi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057367401","display_name":"Akira Ichikawa","orcid":"https://orcid.org/0000-0001-5667-3704"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Ichikawa","raw_affiliation_strings":["Chiba University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chiba University","institution_ids":["https://openalex.org/I159385669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01168146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"278","last_page":"281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.996999979019165,"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":0.9969000220298767,"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/adaptation","display_name":"Adaptation (eye)","score":0.7663012742996216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.733557939529419},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6817439198493958},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6659610867500305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6221132278442383},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.6211913228034973},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5982335805892944},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5300891995429993},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48764264583587646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4351252615451813}],"concepts":[{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7663012742996216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733557939529419},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6817439198493958},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6659610867500305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6221132278442383},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.6211913228034973},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5982335805892944},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5300891995429993},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48764264583587646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4351252615451813},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2007-121","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.75,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W117579468","https://openalex.org/W1502984613","https://openalex.org/W1545944439","https://openalex.org/W2097441502","https://openalex.org/W2100969003","https://openalex.org/W2146049072","https://openalex.org/W2146871184","https://openalex.org/W3011120880","https://openalex.org/W3034729383"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W3203657119"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,19,25,46,61,65,91,94,133],"novel":[4],"approach":[5,27],"based":[6],"on":[7,90],"unsupervised":[8],"training":[9],"of":[10,39,56,96],"the":[11,36,54,57,70,74,81,104,115,120],"MAP":[12,112,130],"adaptation":[13,78,113,131],"rate":[14],"using":[15,93,108,114,132],"Q-learning.":[16],"Qlearning":[17],"is":[18,24],"reinforcement":[20],"learning":[21,29],"technique":[22],"and":[23,63,77],"computational":[26],"to":[28,34,102,129],"whereby":[30],"an":[31],"agent":[32],"tries":[33],"maximize":[35],"total":[37],"amount":[38],"reward":[40,62],"it":[41],"receives":[42],"when":[43],"interacting":[44],"with":[45,119],"complex,":[47],"uncertain":[48],"environment.":[49],"The":[50],"proposed":[51,121],"method":[52,122],"defines":[53],"likelihood":[55],"adapted":[58],"model":[59,76],"as":[60],"learns":[64],"weight":[66,106,116,134],"factor":[67,107,117,135],"that":[68,126],"indicates":[69],"relative":[71],"balance":[72],"between":[73],"initial":[75],"data":[79],"without":[80],"need":[82],"for":[83],"supervised":[84],"data.":[85],"We":[86,99],"conducted":[87],"recognition":[88,124],"experiments":[89],"lecture":[92],"corpus":[95],"spontaneous":[97],"Japanese.":[98],"were":[100],"able":[101],"estimate":[103],"optimal":[105],"Q-learning":[109],"in":[110],"advance.":[111],"estimated":[118],"acquired":[123],"accuracy":[125],"was":[127],"equivalent":[128],"determined":[136],"experimentally.":[137]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
