{"id":"https://openalex.org/W1970084603","doi":"https://doi.org/10.1109/chinsl.2008.ecp.91","title":"Parallel Phone Recognizer based MLLR Speaker Recognition","display_name":"Parallel Phone Recognizer based MLLR Speaker Recognition","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W1970084603","doi":"https://doi.org/10.1109/chinsl.2008.ecp.91","mag":"1970084603"},"language":"en","primary_location":{"id":"doi:10.1109/chinsl.2008.ecp.91","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinsl.2008.ecp.91","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 6th International Symposium on Chinese Spoken Language Processing","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/A5002548873","display_name":"Eryu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Eryu Wang","raw_affiliation_strings":["IFlytek Speech Laboratory, University of Science and Technology, Hefei, China","iFlytek Speech Lab, University of Science and Technology of China, Hefei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IFlytek Speech Laboratory, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"iFlytek Speech Lab, University of Science and Technology of China, Hefei","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038369085","display_name":"Wu Guo","orcid":"https://orcid.org/0000-0002-3779-7944"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Guo","raw_affiliation_strings":["iFlytek Speech Lab, University of Science and Technology of China, Hefei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"iFlytek Speech Lab, University of Science and Technology of China, Hefei","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057227915","display_name":"Li-Rong Dai","orcid":"https://orcid.org/0000-0002-0859-2827"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lirong Dai","raw_affiliation_strings":["IFlytek Speech Laboratory, University of Science and Technology, Hefei, China","iFlytek Speech Lab, University of Science and Technology of China, Hefei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IFlytek Speech Laboratory, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"iFlytek Speech Lab, University of Science and Technology of China, Hefei","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07474911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9988999962806702,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/nist","display_name":"NIST","score":0.8756097555160522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8657650947570801},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7564883232116699},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.6837616562843323},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6007360816001892},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5658653378486633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5311967730522156},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49601301550865173},{"id":"https://openalex.org/keywords/transformation-matrix","display_name":"Transformation matrix","score":0.448426753282547},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.44803452491760254},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.438549667596817},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39771223068237305},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.07293170690536499}],"concepts":[{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.8756097555160522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8657650947570801},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7564883232116699},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.6837616562843323},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6007360816001892},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5658653378486633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5311967730522156},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49601301550865173},{"id":"https://openalex.org/C165443888","wikidata":"https://www.wikidata.org/wiki/Q1482183","display_name":"Transformation matrix","level":3,"score":0.448426753282547},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.44803452491760254},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.438549667596817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39771223068237305},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.07293170690536499},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/chinsl.2008.ecp.91","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinsl.2008.ecp.91","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 6th International Symposium on Chinese Spoken Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.392.4977","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.392.4977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://isca-speech.org/archive_open/archive_papers/iscslp2008/318.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W625564157","https://openalex.org/W1553271421","https://openalex.org/W2002342963","https://openalex.org/W2102300661","https://openalex.org/W2113832997","https://openalex.org/W2119468495","https://openalex.org/W2141279928","https://openalex.org/W2144760012","https://openalex.org/W2148554390","https://openalex.org/W2168561756","https://openalex.org/W6675098511"],"related_works":["https://openalex.org/W2158491338","https://openalex.org/W2807901368","https://openalex.org/W2133733652","https://openalex.org/W2072658171","https://openalex.org/W2606392311","https://openalex.org/W2320042380","https://openalex.org/W4385956668","https://openalex.org/W2900895161","https://openalex.org/W2061937230","https://openalex.org/W2189081180"],"abstract_inverted_index":{"The":[0,48],"method":[1],"that":[2],"uses":[3],"maximum-likelihood":[4],"linear":[5],"regression":[6],"(MLLR)":[7],"adaptation":[8],"transformation":[9],"as":[10,90],"features":[11],"for":[12],"support":[13],"vector":[14],"machine":[15],"(SVM)":[16],"has":[17,96],"been":[18],"adopted":[19],"in":[20,61],"recent":[21],"NIST":[22,110],"Speaker":[23],"Recognition":[24],"Evaluation":[25],"(SRE).":[26],"It":[27,95],"is":[28,88,134],"attractive":[29],"because":[30],"it":[31,41],"makes":[32],"use":[33,68],"of":[34,50,123,131],"high-level":[35],"information":[36],"about":[37],"the":[38,44,51,57,81,109,117,144],"speakers,":[39],"and":[40,103],"can":[42,78,104,119,127],"complement":[43],"standard":[45],"GMM-UBM":[46,146],"system.":[47,147],"performance":[49,139],"system":[52,87,118,138],"will":[53],"be":[54],"affected":[55],"by":[56],"phone":[58,72,83,92],"recognizer,":[59],"especially":[60],"multi-lingual":[62],"contexts.":[63],"In":[64,108],"this":[65],"paper,":[66],"we":[67,126],"a":[69,136],"multi":[70],"language":[71,82],"recognizer":[73,84],"based":[74],"MLLR-SVM":[75],"system,":[76],"which":[77,133],"deal":[79],"with":[80,143],"problem.":[85],"This":[86],"defined":[89],"parallel":[91],"recognizer-MLLR":[93],"(PPR-MLLR).":[94],"simpler":[97],"framework":[98],"than":[99],"existing":[100],"MLLR":[101],"methods":[102],"achieve":[105,120,128],"better":[106],"performance.":[107],"SRE":[111],"06":[112],"1":[113],"conv4w-1":[114],"conv4w":[115],"task,":[116],"an":[121,129],"EER":[122,130],"5.44%.":[124],"Furthermore,":[125],"4.20%":[132],"almost":[135],"20%":[137],"improvement":[140],"when":[141],"combined":[142],"cepstral":[145]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}