{"id":"https://openalex.org/W2129329441","doi":"https://doi.org/10.1109/icassp.2003.1202332","title":"Minimum classification error/eigenvoices training for speaker identification","display_name":"Minimum classification error/eigenvoices training for speaker identification","publication_year":2003,"publication_date":"2003-12-22","ids":{"openalex":"https://openalex.org/W2129329441","doi":"https://doi.org/10.1109/icassp.2003.1202332","mag":"2129329441"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2003.1202332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1202332","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","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/A5061495800","display_name":"Fabio Valente","orcid":null},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"F. Valente","raw_affiliation_strings":["Institut Eurecom, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Eurecom, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108525230","display_name":"C. Wellekens","orcid":null},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Wellekens","raw_affiliation_strings":["Institut Eurecom, Sophia-Antipolis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Eurecom, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1902872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4172,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62422998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"213"},"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":0.9998000264167786,"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":0.9932000041007996,"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":0.7889629602432251},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6928646564483643},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6835238933563232},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6759114265441895},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.5598210096359253},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5308954119682312},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.5297516584396362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5290783047676086},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5000622272491455},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4434919059276581},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4381354749202728},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3302057981491089}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889629602432251},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6928646564483643},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6835238933563232},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6759114265441895},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.5598210096359253},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5308954119682312},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.5297516584396362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5290783047676086},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5000622272491455},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4434919059276581},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4381354749202728},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3302057981491089},{"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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2003.1202332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1202332","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1526415695","https://openalex.org/W1529942162","https://openalex.org/W1931104190","https://openalex.org/W1997519598","https://openalex.org/W2069883713","https://openalex.org/W2116658213","https://openalex.org/W2158289097","https://openalex.org/W2165108269","https://openalex.org/W2544241447","https://openalex.org/W6640415483"],"related_works":["https://openalex.org/W4234190324","https://openalex.org/W2126085626","https://openalex.org/W2545131480","https://openalex.org/W1973693762","https://openalex.org/W208363076","https://openalex.org/W4230495983","https://openalex.org/W2087341511","https://openalex.org/W2162533796","https://openalex.org/W4232713969","https://openalex.org/W2378903289"],"abstract_inverted_index":{"This":[0],"paper":[1,38],"describes":[2],"a":[3,21,49,69],"new":[4],"training":[5,27,43,52,81],"approach":[6],"based":[7],"on":[8],"two":[9,34],"different":[10],"techniques":[11],"(minimum":[12],"classification":[13],"error":[14],"and":[15,44],"eigenvoices),":[16],"in":[17,86],"order":[18],"to":[19,84],"achieve":[20],"better":[22],"robustness":[23],"when":[24],"only":[25],"poor":[26],"data":[28,82],"is":[29,54,77],"provided.":[30],"In":[31],"the":[32,41,45,61,87],"first":[33],"sections":[35],"of":[36],"this":[37],"we":[39],"describe":[40],"MCE":[42],"eigenvoice":[46],"approach.":[47],"Then":[48],"unified":[50],"MCE/eigenvoice":[51],"algorithm":[53],"proposed":[55,62],"describing":[56],"theoretical":[57],"advantages.":[58],"We":[59],"compare":[60],"method":[63],"with":[64],"classical":[65],"ML/eigenvoice":[66],"methods":[67],"for":[68,79],"speaker":[70],"identification":[71,74],"task.":[72],"The":[73],"rate":[75],"improvement":[76],"huge":[78],"sparse":[80],"(up":[83],"50%":[85],"best":[88],"case).":[89]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}