{"id":"https://openalex.org/W2136103482","doi":"https://doi.org/10.1109/icassp.2011.5947621","title":"Relevance language modeling for speech recognition","display_name":"Relevance language modeling for speech recognition","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2136103482","doi":"https://doi.org/10.1109/icassp.2011.5947621","mag":"2136103482"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5947621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5947621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5115603153","display_name":"Kuan\u2010Yu Chen","orcid":"https://orcid.org/0000-0002-6036-2199"},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kuan-Yu Chen","raw_affiliation_strings":["National Taiwan Normal University, Taipei, Taiwan","National Taiwan Normal University Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan Normal University, Taipei, Taiwan","institution_ids":["https://openalex.org/I134161618"]},{"raw_affiliation_string":"National Taiwan Normal University Taipei, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115595070","display_name":"Berlin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Berlin Chen","raw_affiliation_strings":["National Taiwan Normal University, Taipei, Taiwan","National Taiwan Normal University Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan Normal University, Taipei, Taiwan","institution_ids":["https://openalex.org/I134161618"]},{"raw_affiliation_string":"National Taiwan Normal University Taipei, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5115603153"],"corresponding_institution_ids":["https://openalex.org/I134161618"],"apc_list":null,"apc_paid":null,"fwci":3.4206,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93003828,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5568","last_page":"5571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9997000098228455,"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":0.9994000196456909,"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":0.8631631135940552},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7563988566398621},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7502113580703735},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6634053587913513},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6458598971366882},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6345189809799194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5473905801773071},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5302398204803467},{"id":"https://openalex.org/keywords/cache-language-model","display_name":"Cache language model","score":0.5147712230682373},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4174034297466278},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.2120690941810608},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16377338767051697},{"id":"https://openalex.org/keywords/universal-networking-language","display_name":"Universal Networking Language","score":0.1167786717414856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8631631135940552},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7563988566398621},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7502113580703735},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6634053587913513},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6458598971366882},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6345189809799194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5473905801773071},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5302398204803467},{"id":"https://openalex.org/C39608478","wikidata":"https://www.wikidata.org/wiki/Q5015979","display_name":"Cache language model","level":5,"score":0.5147712230682373},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4174034297466278},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2120690941810608},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16377338767051697},{"id":"https://openalex.org/C83479923","wikidata":"https://www.wikidata.org/wiki/Q2063748","display_name":"Universal Networking Language","level":4,"score":0.1167786717414856},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C129353971","wikidata":"https://www.wikidata.org/wiki/Q5156949","display_name":"Comprehension approach","level":3,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2011.5947621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5947621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W21664255","https://openalex.org/W32217939","https://openalex.org/W103963444","https://openalex.org/W1644652583","https://openalex.org/W1880262756","https://openalex.org/W1932968309","https://openalex.org/W1979459060","https://openalex.org/W2020073413","https://openalex.org/W2047457190","https://openalex.org/W2100506586","https://openalex.org/W2102439588","https://openalex.org/W2122160290","https://openalex.org/W2134731454","https://openalex.org/W2139009147","https://openalex.org/W2149441627","https://openalex.org/W2159382562","https://openalex.org/W2163382007","https://openalex.org/W2169213601","https://openalex.org/W2169587258","https://openalex.org/W2174706414","https://openalex.org/W2334889010","https://openalex.org/W2482821414","https://openalex.org/W4211088835","https://openalex.org/W4231510805","https://openalex.org/W4231856373","https://openalex.org/W4246858749","https://openalex.org/W6604240410","https://openalex.org/W6639619044","https://openalex.org/W6680708862","https://openalex.org/W6703074907"],"related_works":["https://openalex.org/W1997182898","https://openalex.org/W4255155614","https://openalex.org/W2394860946","https://openalex.org/W761725120","https://openalex.org/W2009170886","https://openalex.org/W2071315630","https://openalex.org/W2897427480","https://openalex.org/W1508853749","https://openalex.org/W1745277","https://openalex.org/W2944691285"],"abstract_inverted_index":{"Language":[0],"models":[1],"for":[2,66],"speech":[3,72,113],"recognition":[4,114],"tend":[5],"to":[6,16,46,92,126],"be":[7],"brittle":[8],"across":[9],"domains,":[10],"since":[11],"their":[12],"performance":[13],"is":[14],"vulnerable":[15],"changes":[17],"in":[18,71,135],"the":[19,24,78,94,117,127],"genre":[20],"or":[21,40],"topic":[22,41],"of":[23,33,53,63,80],"text":[25],"on":[26,109],"which":[27],"they":[28],"are":[29],"trained.":[30],"A":[31],"number":[32],"adaptation":[34,70,132],"methods,":[35],"exploring":[36],"either":[37],"lexical":[38,95],"co-occurrence":[39],"cues,":[42],"have":[43],"been":[44],"developed":[45],"mitigate":[47],"this":[48,56,136],"problem":[49],"with":[50],"varying":[51],"degrees":[52],"success.":[54],"In":[55],"paper,":[57],"we":[58],"study":[59],"a":[60,87,100],"novel":[61],"use":[62],"relevance":[64],"information":[65],"dynamic":[67],"language":[68,130],"model":[69,131],"recognition.":[73],"It":[74],"not":[75],"only":[76],"inherits":[77],"merits":[79],"several":[81],"existing":[82,129],"techniques":[83],"but":[84,89],"also":[85],"provides":[86],"flexible":[88],"systematic":[90],"way":[91],"render":[93],"and":[96,103],"topical":[97],"relationships":[98],"between":[99],"search":[101],"history":[102],"an":[104],"upcoming":[105],"word.":[106],"Empirical":[107],"results":[108],"large":[110],"vocabulary":[111],"continuous":[112],"show":[115],"that":[116],"methods":[118,133],"deduced":[119],"from":[120],"our":[121],"framework":[122],"represent":[123],"promising":[124],"alternatives":[125],"other":[128],"compared":[134],"paper.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
