{"id":"https://openalex.org/W2032717716","doi":"https://doi.org/10.1109/icassp.2010.5494949","title":"Multipass strategies for improving accuracy in a voice search application","display_name":"Multipass strategies for improving accuracy in a voice search application","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2032717716","doi":"https://doi.org/10.1109/icassp.2010.5494949","mag":"2032717716"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5494949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5494949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5101485503","display_name":"Tianhe Zhang","orcid":"https://orcid.org/0000-0001-5815-9178"},"institutions":[{"id":"https://openalex.org/I4210125787","display_name":"Nuance Communications (United States)","ror":"https://ror.org/0311h6702","country_code":"US","type":"company","lineage":["https://openalex.org/I4210125787"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA","US"],"is_corresponding":true,"raw_author_name":"Tianhe Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, McGill University, Montreal, QUE, Canada","Nuance Communications, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McGill University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Nuance Communications, USA","institution_ids":["https://openalex.org/I4210125787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077077136","display_name":"Richard C. Rose","orcid":null},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Richard Rose","raw_affiliation_strings":["Department of Electrical and Computer Engineering, McGill University, Montreal, QUE, Canada","Department of Electrical and Computer Engineering, McGill University, Montreal, Qu\u00e9bec, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McGill University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McGill University, Montreal, Qu\u00e9bec, Canada#TAB#","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004442300","display_name":"Jean Dahan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125787","display_name":"Nuance Communications (United States)","ror":"https://ror.org/0311h6702","country_code":"US","type":"company","lineage":["https://openalex.org/I4210125787"]},{"id":"https://openalex.org/I4210107622","display_name":"Nuance Communications (Canada)","ror":"https://ror.org/01pshz178","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210107622","https://openalex.org/I4210125787"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Jean Dahan","raw_affiliation_strings":["Nuance Communications, McGill University, Montreal, QUE, Canada","Nuance Communications, USA"],"affiliations":[{"raw_affiliation_string":"Nuance Communications, McGill University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I4210107622","https://openalex.org/I5023651"]},{"raw_affiliation_string":"Nuance Communications, USA","institution_ids":["https://openalex.org/I4210125787"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101485503"],"corresponding_institution_ids":["https://openalex.org/I4210125787","https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10054571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5354","last_page":"5357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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":0.9951000213623047,"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":0.9950000047683716,"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":0.830034613609314},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.6320985555648804},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6155537366867065},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6064597368240356},{"id":"https://openalex.org/keywords/string-searching-algorithm","display_name":"String searching algorithm","score":0.5878051519393921},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5537986755371094},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4983501434326172},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.48084530234336853},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4364430606365204},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43234750628471375},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42846810817718506},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.41027671098709106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3549814224243164},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.342023640871048},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34110885858535767},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.3214978873729706},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0771583616733551}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.830034613609314},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6320985555648804},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6155537366867065},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6064597368240356},{"id":"https://openalex.org/C7757238","wikidata":"https://www.wikidata.org/wiki/Q374040","display_name":"String searching algorithm","level":3,"score":0.5878051519393921},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5537986755371094},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4983501434326172},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.48084530234336853},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4364430606365204},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43234750628471375},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42846810817718506},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.41027671098709106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3549814224243164},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.342023640871048},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34110885858535767},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.3214978873729706},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0771583616733551},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2010.5494949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5494949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 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":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2081617506","https://openalex.org/W2090755665","https://openalex.org/W2099832642","https://openalex.org/W2105852393","https://openalex.org/W2134759028"],"related_works":["https://openalex.org/W3145288231","https://openalex.org/W2371263218","https://openalex.org/W4398785990","https://openalex.org/W2092552144","https://openalex.org/W2354196777","https://openalex.org/W2257399947","https://openalex.org/W2965473297","https://openalex.org/W2386746909","https://openalex.org/W2108265183","https://openalex.org/W2387316851"],"abstract_inverted_index":{"This":[0],"paper":[1,72],"describes":[2],"a":[3,24,34,61,119],"set":[4],"of":[5,11,26,87,113,126],"techniques":[6],"for":[7,17,93],"improving":[8],"the":[9,56,95,102,111],"performance":[10],"automated":[12],"voice":[13,121],"search":[14,30,37,88,122],"services":[15,22],"intended":[16],"mobile":[18],"users":[19],"accessing":[20],"these":[21,127],"over":[23],"range":[25],"portable":[27],"devices.":[28],"Voice":[29],"is":[31,108,133],"implemented":[32],"as":[33],"two":[35],"stage":[36],"procedure":[38],"where":[39],"string":[40],"candidates":[41],"generated":[42],"by":[43],"an":[44],"automatic":[45],"speech":[46],"recognition":[47],"(ASR)":[48],"system":[49],"are":[50,91],"re-scored":[51],"in":[52,70],"order":[53],"to":[54,84],"identify":[55],"best":[57],"matching":[58],"entry":[59,99],"from":[60,118],"potentially":[62],"very":[63],"large":[64],"application":[65],"specific":[66],"database.":[67],"The":[68,124],"work":[69],"this":[71],"deals":[73],"specifically":[74],"with":[75,101],"user":[76,115],"utterances":[77,116],"that":[78],"contain":[79],"spoken":[80],"letter":[81],"sequences":[82],"corresponding":[83],"spelled":[85],"instances":[86],"terms.":[89],"Methods":[90],"investigated":[92],"identifying":[94],"most":[96],"likely":[97],"database":[98],"associated":[100],"decoded":[103],"utterance.":[104],"An":[105],"experimental":[106],"study":[107],"presented":[109],"describing":[110],"characteristics":[112],"actual":[114],"obtained":[117],"prototype":[120],"service.":[123],"impact":[125],"methods":[128],"on":[129],"word":[130],"error":[131],"rate":[132],"presented.":[134]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}