{"id":"https://openalex.org/W2112761962","doi":"https://doi.org/10.21437/eurospeech.2001-214","title":"Speech recognition of broadcast sports news","display_name":"Speech recognition of broadcast sports news","publication_year":2001,"publication_date":"2001-09-03","ids":{"openalex":"https://openalex.org/W2112761962","doi":"https://doi.org/10.21437/eurospeech.2001-214","mag":"2112761962"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2001-214","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","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/A5068368819","display_name":"Akihiro Matsui","orcid":"https://orcid.org/0000-0002-3979-3947"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Atsushi Matsui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032078198","display_name":"Hiroyuki Segi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiroyuki Segi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079042022","display_name":"Akio Kobayashi","orcid":"https://orcid.org/0000-0002-6927-7353"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akio Kobayashi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055934853","display_name":"Toru Imai","orcid":"https://orcid.org/0009-0006-6715-7346"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Toru Imai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074060649","display_name":"Akio Aono","orcid":"https://orcid.org/0000-0003-3478-6892"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akio Ando","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068368819"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6565,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91846685,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"709","last_page":"712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13497","display_name":"Hermeneutics and Narrative Identity","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13497","display_name":"Hermeneutics and Narrative Identity","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"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/T13695","display_name":"Aging, Elder Care, and Social Issues","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13099","display_name":"Health, Medicine and Society","score":0.95660001039505,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7725265026092529},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.7240539789199829},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.689176082611084},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6889768838882446},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5524868965148926},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4708397388458252},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4616360366344452},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.4364646375179291},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.43586283922195435},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.4334680438041687},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4175992012023926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3372487425804138},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.309820294380188},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13405245542526245},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12559649348258972},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1158648431301117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7725265026092529},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.7240539789199829},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.689176082611084},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6889768838882446},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5524868965148926},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4708397388458252},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4616360366344452},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.4364646375179291},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43586283922195435},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.4334680438041687},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4175992012023926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3372487425804138},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.309820294380188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13405245542526245},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12559649348258972},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1158648431301117},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.2001-214","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W119861811","https://openalex.org/W171871506","https://openalex.org/W1549285799","https://openalex.org/W1597533204","https://openalex.org/W2141869026","https://openalex.org/W2581657084"],"related_works":["https://openalex.org/W2150750161","https://openalex.org/W2151534206","https://openalex.org/W2026144026","https://openalex.org/W2151348424","https://openalex.org/W2163592168","https://openalex.org/W2115456980","https://openalex.org/W5671660","https://openalex.org/W1863069154","https://openalex.org/W603318993","https://openalex.org/W2027167280","https://openalex.org/W2169731540","https://openalex.org/W2153875174","https://openalex.org/W2080141381","https://openalex.org/W2140591305","https://openalex.org/W2153295945","https://openalex.org/W1497807607","https://openalex.org/W2169362066","https://openalex.org/W2134900903","https://openalex.org/W2153338568","https://openalex.org/W2164913338"],"abstract_inverted_index":{"This":[0],"paper":[1],"shows":[2],"that":[3,117],"a":[4,19,26,34,48,71,91],"domain-dependent":[5,27],"language":[6,28,92],"model":[7,29,36,93],"and":[8,151],"state-skipped":[9],"HMMs":[10,129],"can":[11],"achieve":[12],"improvements":[13],"in":[14,37,61],"word":[15,40,144],"recognition":[16],"accuracy":[17],"on":[18,100],"broadcast":[20],"sports":[21,101,111],"news":[22,55,98,112,120],"transcription":[23],"task.":[24],"Although":[25],"is":[30],"much":[31],"better":[32],"than":[33,116,137],"general":[35,54,119],"terms":[38],"of":[39,110,118,134],"error":[41,145],"rate,":[42],"the":[43,53,107,143],"smaller":[44],"training":[45],"corpus":[46,56],"for":[47],"special":[49],"topic":[50],"relative":[51],"to":[52,58,75,127,130,149,155],"leads":[57],"problems":[59],"especially":[60],"higher-order":[62,79],"n-gram":[63,80,86],"probability":[64],"estimation.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69,122,141],"tried":[70],"linear":[72],"interpolation":[73],"technique":[74,95],"smooth":[76],"out":[77],"unreliable":[78],"probabilities":[81],"using":[82,97],"more":[83],"reliable":[84],"lower-order":[85],"probabilities.":[87],"We":[88],"also":[89],"applied":[90],"adaptation":[94],"by":[96],"manuscripts":[99],"topics.":[102],"For":[103],"acoustic":[104],"modeling,":[105],"since":[106],"speech":[108,113],"rate":[109,146],"was":[114],"faster":[115],"speech,":[121],"added":[123],"two":[124],"state-skipping":[125],"paths":[126],"three-state":[128],"deal":[131],"with":[132],"phonemes":[133],"duration":[135],"less":[136],"three":[138],"frames.":[139],"Overall,":[140],"reduced":[142],"from":[147],"15.1%":[148],"5.8%,":[150],"achieved":[152],"sufficient":[153],"performance":[154],"realize":[156],"real-time":[157],"subtitling":[158],"services.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}