{"id":"https://openalex.org/W2147371164","doi":"https://doi.org/10.1109/asru.2007.4430175","title":"A study on rescoring using HMM-based detectors for continuous speech recognition","display_name":"A study on rescoring using HMM-based detectors for continuous speech recognition","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2147371164","doi":"https://doi.org/10.1109/asru.2007.4430175","mag":"2147371164"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2007.4430175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2007.4430175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Workshop on Automatic Speech Recognition &amp; Understanding (ASRU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5065153972","display_name":"Qiang Fu","orcid":"https://orcid.org/0000-0003-4100-2777"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Fu","raw_affiliation_strings":["School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology , Atlanta#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology , Atlanta#TAB#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110122094","display_name":"Biing-Hwang Juang","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Biing-Hwang Juang","raw_affiliation_strings":["School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology , Atlanta#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology , Atlanta#TAB#","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.19855175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"570","last_page":"575"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.882850706577301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.861121416091919},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.732660174369812},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6680989265441895},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5308792591094971},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.5132403373718262},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.49466201663017273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47584009170532227},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.41906648874282837},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4109271168708801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3722464442253113}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.882850706577301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.861121416091919},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.732660174369812},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6680989265441895},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5308792591094971},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.5132403373718262},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.49466201663017273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47584009170532227},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.41906648874282837},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4109271168708801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3722464442253113},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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:10.1109/asru.2007.4430175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2007.4430175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Workshop on Automatic Speech Recognition &amp; Understanding (ASRU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W110305337","https://openalex.org/W116478402","https://openalex.org/W200098884","https://openalex.org/W202359724","https://openalex.org/W1493163583","https://openalex.org/W1560013842","https://openalex.org/W2077804127","https://openalex.org/W2097468589","https://openalex.org/W2136389896","https://openalex.org/W2136859047","https://openalex.org/W2141354973","https://openalex.org/W2158289097","https://openalex.org/W2163314930","https://openalex.org/W2168331946","https://openalex.org/W6680492384","https://openalex.org/W6684763979"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2294335174","https://openalex.org/W2025614924","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W1591475660","https://openalex.org/W2153098279"],"abstract_inverted_index":{"This":[0,103],"paper":[1],"presents":[2],"an":[3,126],"investigation":[4],"of":[5,29,63,108,132],"the":[6,27,30,42,50,61,67,71,75,85,113,130],"rescoring":[7,64,101],"performance":[8,65],"using":[9],"hidden":[10],"Markov":[11],"model":[12],"(HMM)":[13],"based":[14],"attribute":[15],"detectors.":[16],"The":[17,36],"minimum":[18],"verification":[19],"error":[20],"(MVE)":[21],"criterion":[22],"is":[23],"employed":[24],"to":[25],"enhance":[26],"reliability":[28],"detectors":[31,38,68],"in":[32,55,79],"continuous":[33],"speech":[34,116],"recognition.":[35],"HMM-based":[37],"are":[39,47,95],"applied":[40],"on":[41,60,70],"possible":[43],"recognition":[44,117],"candidates,":[45],"which":[46],"generated":[48],"from":[49],"conventional":[51],"decoder":[52,76],"and":[53,91],"organized":[54],"phone/word":[56],"graphs.":[57],"We":[58],"focus":[59],"study":[62],"with":[66],"trained":[69],"tokens":[72],"produced":[73],"by":[74],"but":[77],"labeled":[78],"broad":[80],"phonetic":[81,86],"categories":[82],"rather":[83],"than":[84],"identities.":[87],"Various":[88],"training":[89],"criteria":[90],"knowledge":[92],"fusion":[93],"methods":[94],"investigated":[96],"under":[97],"various":[98,106],"semantic":[99],"level":[100],"scenarios.":[102],"research":[104],"demonstrates":[105],"possibilities":[107],"embedding":[109],"auxiliary":[110],"information":[111],"into":[112],"current":[114],"automatic":[115],"(ASR)":[118],"framework":[119],"for":[120],"improved":[121],"results.":[122],"It":[123],"also":[124],"represents":[125],"intermediate":[127],"step":[128],"towards":[129],"construction":[131],"a":[133],"true":[134],"detection-based":[135],"ASR":[136],"paradigm.":[137]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
