{"id":"https://openalex.org/W1528200036","doi":"https://doi.org/10.21437/eurospeech.2001-265","title":"Unsupervised noisy environment adaptation algorithm using MLLR and speaker selection","display_name":"Unsupervised noisy environment adaptation algorithm using MLLR and speaker selection","publication_year":2001,"publication_date":"2001-09-03","ids":{"openalex":"https://openalex.org/W1528200036","doi":"https://doi.org/10.21437/eurospeech.2001-265","mag":"1528200036"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2001-265","doi":"https://doi.org/10.21437/eurospeech.2001-265","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-265","pdf_url":null,"source":{"id":"https://openalex.org/S7407089324","display_name":"European Conference on Speech Communication and Technology (Eurospeech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://naist.repo.nii.ac.jp/record/4529/files/EUROSPEECH_2001_869.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110083878","display_name":"Miichi Yamada","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miichi Yamada","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Akira Baba","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akira Baba","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032221804","display_name":"Shinichi Yoshizawa","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shinichi Yoshizawa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038002954","display_name":"Yuichiro Mera","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuichiro Mera","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035473671","display_name":"Akinobu Lee","orcid":"https://orcid.org/0009-0005-5323-9191","observed_orcids":["https://orcid.org/0009-0005-5323-9191"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akinobu Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003814223","display_name":"Hiroshi Saruwatari","orcid":"https://orcid.org/0000-0003-0876-5617","observed_orcids":["https://orcid.org/0000-0003-0876-5617"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiroshi Saruwatari","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5021868389","display_name":"Kiyohiro Shikano","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiyohiro Shikano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0776924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"869","last_page":"872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.0005000000237487257,"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/T12031","display_name":"Speech and dialogue systems","score":0.0,"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/mllr-adaptation","display_name":"MLLR adaptation","score":0.7979999780654907},{"id":"https://openalex.org/keywords/speaker-selection","display_name":"speaker selection","score":0.9399999976158142},{"id":"https://openalex.org/keywords/noisy-environments","display_name":"noisy environments","score":0.75},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"speech recognition","score":0.5260000228881836},{"id":"https://openalex.org/keywords/dictation","display_name":"dictation","score":0.5619999766349792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7379385232925415},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7253164649009705},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6850425601005554},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6361438632011414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49649888277053833},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09410586953163147},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/eurospeech.2001-265","doi":"https://doi.org/10.21437/eurospeech.2001-265","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-265","pdf_url":null,"source":{"id":"https://openalex.org/S7407089324","display_name":"European Conference on Speech Communication and Technology (Eurospeech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01146:0005782980","doi":null,"is_oa":true,"landing_page_url":"https://naist.repo.nii.ac.jp/records/4529","pdf_url":"https://naist.repo.nii.ac.jp/record/4529/files/EUROSPEECH_2001_869.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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":null,"raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01146:0005782980","doi":null,"is_oa":true,"landing_page_url":"https://naist.repo.nii.ac.jp/records/4529","pdf_url":"https://naist.repo.nii.ac.jp/record/4529/files/EUROSPEECH_2001_869.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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":null,"raw_type":"conference paper"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1528200036.pdf","grobid_xml":"https://content.openalex.org/works/W1528200036.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2114645826","https://openalex.org/W97132582","https://openalex.org/W7145179218","https://openalex.org/W1487711593","https://openalex.org/W2002111936","https://openalex.org/W2141132023","https://openalex.org/W2034630336","https://openalex.org/W7099538187","https://openalex.org/W1594640407","https://openalex.org/W2118289640"],"abstract_inverted_index":{"An":[0],"unsupervised":[1],"acoustic":[2,65],"model":[3,154],"adaptation":[4,29,109],"algorithm":[5,18,124,167],"using":[6,51,113,159],"MLLR":[7,108],"and":[8,24,85,100],"speaker":[9,53,62],"selection":[10,40],"for":[11,133],"noisy":[12,136],"environments":[13],"is":[14,31,48,110,125,148,168],"proposed.":[15],"The":[16,28,122,165],"proposed":[17,123,166],"requires":[19],"only":[20],"one":[21,57],"arbitrary":[22,58],"utterance":[23],"environmental":[25],"noise":[26,103,160],"data.":[27],"procedure":[30],"composed":[32],"of":[33,45,74,91],"the":[34,70,75,79,92,97,101,114,119,152,156,173],"following":[35],"four":[36],"steps.":[37],"(1)":[38],"Speaker":[39],"from":[41,69,96,118],"a":[42,128],"large":[43],"number":[44],"database":[46,95,117],"speakers":[47,99],"carried":[49,111],"out":[50,112],"GMM":[52],"models":[54,66],"based":[55],"on":[56],"utterance.":[59],"(2)":[60],"Initial":[61],"adapted":[63],"HMM":[64,71,81,174],"are":[67,83,105],"calculated":[68],"sufficient":[72,80],"statistics":[73,82],"selected":[76,98,120],"speakers,":[77],"where":[78],"pre-calculated":[84],"stored.":[86],"(3)":[87],"A":[88],"small":[89],"subset":[90],"clean":[93],"speech":[94,116,163],"environment":[102],"data":[104],"superimposed.":[106],"(4)":[107],"noise-superimposed":[115],"speakers.":[121],"evaluated":[126],"in":[127,135,144],"20k":[129],"vocabulary":[130],"dictation":[131],"task":[132],"newspaper":[134],"environments.":[137],"We":[138],"attain":[139],"85.7%":[140],"word":[141],"correct":[142],"rate":[143],"25dB":[145],"SNR,":[146],"which":[147],"slightly":[149],"better":[150,171],"than":[151,172],"matched":[153],"by":[155],"E-M":[157],"training":[158],"superimposed":[161],"whole":[162],"database.":[164],"also":[169],"7%":[170],"composition":[175],"algorithm.":[176]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2016-06-24T00:00:00"}