{"id":"https://openalex.org/W22834487","doi":"https://doi.org/10.21437/eurospeech.2003-292","title":"Tree-structured noise-adapted HMM modeling for piecewise linear-transformation-based adaptation","display_name":"Tree-structured noise-adapted HMM modeling for piecewise linear-transformation-based adaptation","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W22834487","doi":"https://doi.org/10.21437/eurospeech.2003-292","mag":"22834487"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2003-292","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","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/A5100410124","display_name":"Zhipeng Zhang","orcid":"https://orcid.org/0000-0001-9054-5263"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhipeng Zhang","raw_affiliation_strings":["Multimedia Laboratories, NTT DoCoMo 3-5 Hikari-no-oka, Yokosuka, Kanagawa, 239-8536 Japan"],"affiliations":[{"raw_affiliation_string":"Multimedia Laboratories, NTT DoCoMo 3-5 Hikari-no-oka, Yokosuka, Kanagawa, 239-8536 Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047429680","display_name":"Kiyotaka Otsuji","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyotaka Otsuji","raw_affiliation_strings":["Multimedia Laboratories, NTT DoCoMo 3-5 Hikari-no-oka, Yokosuka, Kanagawa, 239-8536 Japan"],"affiliations":[{"raw_affiliation_string":"Multimedia Laboratories, NTT DoCoMo 3-5 Hikari-no-oka, Yokosuka, Kanagawa, 239-8536 Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009532108","display_name":"Sadaoki Furui","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sadaoki Furui","raw_affiliation_strings":["Department of Computer Science, Tokyo Institute of Technology 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8552 Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tokyo Institute of Technology 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8552 Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100410124"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":1.8727,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86623636,"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":"669","last_page":"672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9995999932289124,"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":0.996399998664856,"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":0.7392963171005249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6920280456542969},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6410475969314575},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6048703789710999},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5882447957992554},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5708094239234924},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5513038635253906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5173177719116211},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.49862051010131836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4621364176273346},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.4504266679286957},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4437273144721985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21069765090942383}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7392963171005249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6920280456542969},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6410475969314575},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6048703789710999},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5882447957992554},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5708094239234924},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5513038635253906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5173177719116211},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.49862051010131836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4621364176273346},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.4504266679286957},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4437273144721985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21069765090942383},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/eurospeech.2003-292","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","raw_type":"proceedings-article"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:00090717","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100485188","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W124652146","https://openalex.org/W310645910","https://openalex.org/W1954629477","https://openalex.org/W1979141632","https://openalex.org/W2041013097","https://openalex.org/W2142714559","https://openalex.org/W2146871184"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W2097963413","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W1591475660","https://openalex.org/W2164162849"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"the":[3,16,25,38,42,46,51,58,65,90],"application":[4],"of":[5,18,37],"tree-structured":[6],"clustering":[7,26],"to":[8,24,62,81],"various":[9,100],"noise":[10,22,101],"samples":[11],"or":[12],"noisy":[13,29],"speech":[14,30,53,98],"in":[15,95],"framework":[17],"piecewise-linear":[19],"transformation":[20],"(PLT)-based":[21],"adaptation.According":[23],"results,":[27],"a":[28,82],"HMM":[31,47,67],"is":[32,54,68,76,93],"made":[33],"for":[34],"each":[35],"node":[36],"tree":[39,59],"structure.Based":[40],"on":[41],"likelihood":[43],"maximization":[44],"criterion,":[45],"that":[48,89],"best":[49],"matches":[50],"input":[52],"selected":[55,66],"by":[56,71,78],"tracing":[57],"from":[60],"top":[61],"bottom,":[63],"and":[64],"further":[69],"adapted":[70],"linear":[72],"transformation.The":[73],"proposed":[74,91],"method":[75,92],"evaluated":[77],"applying":[79],"it":[80],"Japanese":[83],"dialogue":[84],"recognition":[85],"system.The":[86],"results":[87],"confirm":[88],"effective":[94],"recognizing":[96],"noise-added":[97],"under":[99],"conditions.":[102]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
