{"id":"https://openalex.org/W141909156","doi":"https://doi.org/10.21437/icslp.2000-268","title":"Transformation enhanced multi-grained modeling for text-independent speaker recognition","display_name":"Transformation enhanced multi-grained modeling for text-independent speaker recognition","publication_year":2000,"publication_date":"2000-10-16","ids":{"openalex":"https://openalex.org/W141909156","doi":"https://doi.org/10.21437/icslp.2000-268","mag":"141909156"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.2000-268","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Spoken Language Processing (ICSLP 2000)","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/A5110218731","display_name":"Upendra V. Chaudhari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Upendra V. Chaudhari","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039085741","display_name":"Ji\u0159\u00ed Navr\u00e1til","orcid":"https://orcid.org/0000-0001-6348-0812"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiri Navr\u00e1til","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090405149","display_name":"St\u00e9phane Maes","orcid":"https://orcid.org/0000-0003-0195-2313"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"St\u00e9phane H. Maes","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103606070","display_name":"Ramesh A. Gopinath","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramesh Gopinath","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2478,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93820344,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"vol. 2, 298","last_page":"301"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9973999857902527,"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/T11309","display_name":"Music and Audio Processing","score":0.9918000102043152,"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/computer-science","display_name":"Computer science","score":0.7941895723342896},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6738632917404175},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5580562949180603},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.475220263004303},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4746604263782501},{"id":"https://openalex.org/keywords/model-transformation","display_name":"Model transformation","score":0.42712974548339844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3924887478351593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7941895723342896},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6738632917404175},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5580562949180603},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.475220263004303},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4746604263782501},{"id":"https://openalex.org/C2779791154","wikidata":"https://www.wikidata.org/wiki/Q258040","display_name":"Model transformation","level":3,"score":0.42712974548339844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3924887478351593},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/icslp.2000-268","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Spoken Language Processing (ICSLP 2000)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.21.1947","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.1947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.ibm.com/people/r/rameshg/chaudhari-icslp2000.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.69.7168","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.69.7168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.ibm.com/CBG/papers/icslp2000.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W40630518","https://openalex.org/W97107628","https://openalex.org/W2102063998","https://openalex.org/W2120535490","https://openalex.org/W2124629003","https://openalex.org/W2165880886"],"related_works":["https://openalex.org/W1491159402","https://openalex.org/W2364400229","https://openalex.org/W4297807400","https://openalex.org/W4313854686","https://openalex.org/W2249138175","https://openalex.org/W1988613072","https://openalex.org/W2159183434","https://openalex.org/W2611678594","https://openalex.org/W2157133118","https://openalex.org/W3162054169"],"abstract_inverted_index":{"We":[0,53,135],"describe":[1],"our":[2,37],"formulation":[3],"of":[4,39,109,139],"transformation":[5,42],"enhanced":[6],"data":[7,14,82],"modeling":[8,141],"used":[9,100],"to":[10,17,26,56,60,101],"develop":[11],"a":[12,72,114],"multi-grained":[13],"analysis":[15],"approach":[16],"text":[18],"independent":[19],"speaker":[20,104],"recognition.":[21],"The":[22],"broad":[23],"goal":[24],"is":[25,51,76,98,113],"address":[27],"difficulties":[28],"caused":[29],"by":[30],"sparse":[31],"training":[32,62,81],"and":[33,144],"test":[34],"data.":[35,63],"First,":[36],"development":[38],"maximum":[40],"likelihood":[41],"based":[43,90],"recognition":[44],"with":[45,87,116,142],"diagonally":[46],"constrained":[47],"Gaussian":[48],"mixture":[49],"models":[50,68],"detailed.":[52],"give":[54],"results":[55],"show":[57],"its":[58],"robustness":[59],"decreasing":[61],"Then":[64],"using":[65],"the":[66,80,103,117,122,127,137,140],"these":[67],"as":[69],"building":[70],"blocks,":[71],"multigrained":[73],"model":[74,105],"structure":[75,97,112],"developed.":[77],"For":[78],"this,":[79],"must":[83],"be":[84],"labeled,":[85],"e.g.":[86],"an":[88],"HMM":[89],"phone":[91,95],"labeler.":[92],"A":[93],"graduated":[94],"class":[96],"then":[99],"train":[102],"at":[106],"various":[107],"levels":[108,125],"detail.":[110],"This":[111],"tree":[115],"root":[118],"node":[119],"containing":[120],"all":[121],"phones.":[123],"Subsequent":[124],"partition":[126],"phones":[128],"into":[129],"increasingly":[130],"finer":[131],"grained":[132],"linguistic":[133],"classes.":[134],"demonstrate":[136],"effectiveness":[138],"identification":[143],"verification":[145],"experiments.":[146],"1.":[147]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
