{"id":"https://openalex.org/W1527739638","doi":"https://doi.org/10.21437/interspeech.2005-517","title":"Developing and enhancing posterior based speech recognition systems","display_name":"Developing and enhancing posterior based speech recognition systems","publication_year":2005,"publication_date":"2005-09-04","ids":{"openalex":"https://openalex.org/W1527739638","doi":"https://doi.org/10.21437/interspeech.2005-517","mag":"1527739638"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2005-517","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2005-517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2005","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/record/83176/files/rr05-23.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047412162","display_name":"Hamed Ketabdar","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hamed Ketabdar","raw_affiliation_strings":["IDIAP research institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDIAP research institute","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106182403","display_name":"Jithendra Vepa","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jithendra Vepa","raw_affiliation_strings":["IDIAP research institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDIAP research institute","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017529415","display_name":"Samy Bengio","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Samy Bengio","raw_affiliation_strings":["IDIAP research institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDIAP research institute","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108187466","display_name":"Herv\u00e9 Bourlard","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Herv\u00e9 Bourlard","raw_affiliation_strings":["IDIAP research institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDIAP research institute","institution_ids":["https://openalex.org/I7495430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I7495430"],"apc_list":null,"apc_paid":null,"fwci":1.4787,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82009838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1461","last_page":"1464"},"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":0.9991999864578247,"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":0.9990000128746033,"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":0.7750855684280396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7710962891578674},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.7255740165710449},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5902103185653687},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.5327740907669067},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5301217436790466},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49136605858802795},{"id":"https://openalex.org/keywords/viterbi-decoder","display_name":"Viterbi decoder","score":0.49081477522850037},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.4819195568561554},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.4804224967956543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41197049617767334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4118189513683319},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.2778984308242798},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08816257119178772},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.06864827871322632}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7750855684280396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710962891578674},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.7255740165710449},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5902103185653687},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.5327740907669067},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5301217436790466},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49136605858802795},{"id":"https://openalex.org/C117379686","wikidata":"https://www.wikidata.org/wiki/Q6996459","display_name":"Viterbi decoder","level":3,"score":0.49081477522850037},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.4819195568561554},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.4804224967956543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41197049617767334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4118189513683319},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2778984308242798},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08816257119178772},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.06864827871322632},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.21437/interspeech.2005-517","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2005-517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2005","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.tind.io:83176","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/228623","pdf_url":"https://infoscience.epfl.ch/record/83176/files/rr05-23.pdf","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"},{"id":"pmh:oai:infoscience.tind.io:83290","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/83290","pdf_url":"https://infoscience.epfl.ch/record/83290/files/rr05-23.pdf","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"report"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.115.3823","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.3823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eprints.pascal-network.org/archive/00001105/01/ketabdar_2005_eurospeech.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.115.9153","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.9153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.idiap.ch/ftp/reports/2005/rr05-23.pdf","raw_type":"text"},{"id":"pmh:oai:infoscience.epfl.ch:83176","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/83176","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:83176","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/228623","pdf_url":"https://infoscience.epfl.ch/record/83176/files/rr05-23.pdf","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6600000262260437,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1527739638.pdf","grobid_xml":"https://content.openalex.org/works/W1527739638.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W159349026","https://openalex.org/W1553004968","https://openalex.org/W1603553412","https://openalex.org/W1802155944","https://openalex.org/W2043422002","https://openalex.org/W2125838338","https://openalex.org/W2146136606","https://openalex.org/W2165712214","https://openalex.org/W2594610113"],"related_works":["https://openalex.org/W2102309991","https://openalex.org/W1795315578","https://openalex.org/W2373954783","https://openalex.org/W2535886977","https://openalex.org/W2133857928","https://openalex.org/W2143297499","https://openalex.org/W2356694334","https://openalex.org/W2991144886","https://openalex.org/W2790444905","https://openalex.org/W1843778016"],"abstract_inverted_index":{"Local":[0],"state":[1],"or":[2,16,90],"phone":[3,132],"posterior":[4,41,69,107],"probabilities":[5,108],"are":[6,109],"often":[7],"investigated":[8],"as":[9,17,47,53,55,60,156],"local":[10,87,91,157],"scores":[11,158],"(e.g.,":[12,21,46],"hybrid":[13,178],"HMM/ANN":[14,179],"systems)":[15],"transformed":[18],"acoustic":[19,44],"features":[20],"\u201cTandem\u201d)":[22],"to":[23,130,175],"improve":[24],"speech":[25],"recognition":[26,172],"systems.":[27],"In":[28,63,147],"this":[29,168],"paper,":[30],"we":[31,151],"present":[32,65,149],"initial":[33],"results":[34,96],"towards":[35,118],"boosting":[36],"these":[37,123],"approaches":[38],"by":[39],"improving":[40],"estimates,":[42],"using":[43],"context":[45,140],"available":[48],"in":[49,80,97,144,159,170],"the":[50,64,67,74,126,131,138,148,153,164],"whole":[51],"utterance),":[52],"well":[54],"possible":[56],"prior":[57,142],"information":[58],"(such":[59],"topological":[61],"constraints).":[62],"work,":[66,150],"enhanced":[68],"distribution":[70,77],"is":[71],"associated":[72],"with":[73],"\u201cgamma":[75],"\u201d":[76],"typically":[78],"used":[79,152],"standard":[81],"HMMs":[82],"training,":[83],"and":[84,133,136,141],"estimated":[85],"from":[86,125],"likelihoods":[88],"(GMM)":[89],"posteriors":[92,155],"(ANN).":[93],"This":[94],"approach":[95,117],"a":[98,114,119,160,176],"family":[99],"of":[100,122],"new":[101],"HMM":[102],"based":[103],"systems,":[104],"where":[105],"only":[106],"used,":[110],"while":[111],"also":[112],"providing":[113],"new,":[115],"principled,":[116],"hierarchical":[120],"use/integration":[121],"posteriors,":[124],"frame":[127],"level":[128],"up":[129],"word":[134],"levels,":[135],"integrating":[137],"appropriate":[139],"knowledge":[143],"each":[145],"level.":[146],"resulting":[154],"Viterbi":[161],"decoder.":[162],"On":[163],"OGI":[165],"Numbers\u201995":[166],"database,":[167],"resulted":[169],"improved":[171],"performance,":[173],"compared":[174],"state-of-the-art":[177],"system.":[180],"1.":[181]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
