{"id":"https://openalex.org/W2406076575","doi":"https://doi.org/10.21437/interspeech.2012-296","title":"Word relevance modeling for speech recognition","display_name":"Word relevance modeling for speech recognition","publication_year":2012,"publication_date":"2012-09-09","ids":{"openalex":"https://openalex.org/W2406076575","doi":"https://doi.org/10.21437/interspeech.2012-296","mag":"2406076575"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2012-296","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2012-296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2012","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":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kuan-Yu Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100969066","display_name":"Hao-Chin Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao-Chin Chang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115595070","display_name":"Berlin Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berlin Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071214181","display_name":"Hsin\u2010Min Wang","orcid":"https://orcid.org/0000-0003-3599-5071"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hsin-Min Wang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115603153"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29614212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"999","last_page":"1002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10201","display_name":"Speech Recognition and Synthesis","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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":0.8544415235519409},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7990586757659912},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6336947679519653},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6289499402046204},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5699279308319092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5467953681945801},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5092610120773315},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46630537509918213},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37316974997520447},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14537134766578674}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8544415235519409},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7990586757659912},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6336947679519653},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6289499402046204},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5699279308319092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5467953681945801},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5092610120773315},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46630537509918213},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37316974997520447},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14537134766578674},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2012-296","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2012-296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2012","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W32217939","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/W2134731454","https://openalex.org/W2136103482","https://openalex.org/W2139009147","https://openalex.org/W2143555316","https://openalex.org/W2149441627","https://openalex.org/W2159382562","https://openalex.org/W2163382007","https://openalex.org/W2169213601","https://openalex.org/W2169587258","https://openalex.org/W2334889010","https://openalex.org/W2408080624"],"related_works":["https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W2997567050","https://openalex.org/W4312133475","https://openalex.org/W4238976562","https://openalex.org/W2276587472","https://openalex.org/W2615795876","https://openalex.org/W1997182898","https://openalex.org/W2944691285"],"abstract_inverted_index":{"Language":[0],"models":[1],"for":[2,114,135],"speech":[3,141,182],"recognition":[4,183],"tend":[5],"to":[6,16,46,72,91,100,104,161,197],"be":[7],"brittle":[8],"across":[9],"domains,":[10],"since":[11],"their":[12],"performance":[13,186],"is":[14,63,95,109],"vulnerable":[15],"changes":[17],"in":[18,140],"the":[19,24,64,74,79,96,147,163,170,174,185,189],"genre":[20],"or":[21,40],"topic":[22,41],"of":[23,33,53,61,98,132,149,188],"text":[25],"on":[26,178],"which":[27,68,127],"they":[28],"are":[29],"trained.":[30],"A":[31],"number":[32],"adaptation":[34,139],"methods,":[35],"discovering":[36],"either":[37],"lexical":[38,75],"co-occurrence":[39,76],"cues,":[42],"have":[43],"been":[44],"developed":[45],"mitigate":[47],"this":[48,108,118,193],"problem":[49],"with":[50],"varying":[51],"degrees":[52],"success.":[54],"Among":[55],"them,":[56],"a":[57,88,101,122,129,156],"more":[58],"recent":[59],"thread":[60],"work":[62],"relevance":[65,106,124,133],"modeling":[66,125],"approach,":[67],"has":[69],"shown":[70],"promise":[71],"capture":[73],"relationship":[77],"between":[78,169],"entire":[80],"search":[81,171],"history":[82,172],"and":[83,112,166,173],"an":[84,93],"upcoming":[85,175],"word.":[86,176],"However,":[87],"potential":[89],"downside":[90],"such":[92],"approach":[94],"need":[97],"resorting":[99],"retrieval":[102],"procedure":[103],"obtain":[105],"information;":[107],"usually":[110],"complex":[111],"time-consuming":[113],"practical":[115],"applications.":[116],"In":[117],"paper,":[119],"we":[120],"propose":[121],"word":[123],"framework,":[126],"introduces":[128],"novel":[130],"use":[131],"information":[134],"dynamic":[136],"language":[137],"model":[138],"recognition.":[142],"It":[143],"not":[144],"only":[145],"inherits":[146],"merits":[148,187],"several":[150,198],"existing":[151,199],"techniques":[152],"but":[153],"also":[154],"provides":[155],"flexible":[157],"yet":[158],"systematic":[159],"way":[160],"render":[162],"lexical,":[164],"topical,":[165],"proximity":[167],"relationships":[168],"Experiments":[177],"large":[179],"vocabulary":[180],"continuous":[181],"demonstrate":[184],"methods":[190],"instantiated":[191],"from":[192],"framework":[194],"when":[195],"compared":[196],"methods.":[200]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
