{"id":"https://openalex.org/W2133975831","doi":"https://doi.org/10.1109/icassp.2006.1661467","title":"A Stream-Weight and Threshold Estimation Method Using Adaboost for Multi-Stream Speaker Verification","display_name":"A Stream-Weight and Threshold Estimation Method Using Adaboost for Multi-Stream Speaker Verification","publication_year":2006,"publication_date":"2006-08-03","ids":{"openalex":"https://openalex.org/W2133975831","doi":"https://doi.org/10.1109/icassp.2006.1661467","mag":"2133975831"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1661467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://t2r2.star.titech.ac.jp/rrws/file/CTT100507382/ATD100000413/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111706835","display_name":"Tadashi Asami","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":"T. Asami","raw_affiliation_strings":["Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo, Japan","Dept. of Comput. Eng., Tokyo Inst. of Technol"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Comput. Eng., Tokyo Inst. of Technol","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084374665","display_name":"Koji Iwano","orcid":"https://orcid.org/0000-0002-7373-5353"},"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":"K. Iwano","raw_affiliation_strings":["Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo, Japan","Dept. of Comput. Eng., Tokyo Inst. of Technol"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Comput. Eng., Tokyo Inst. of Technol","institution_ids":["https://openalex.org/I114531698"]}]},{"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":"S. Furui","raw_affiliation_strings":["Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo, Japan","Dept. of Comput. Eng., Tokyo Inst. of Technol"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Comput. Eng., Tokyo Inst. of Technol","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":3.2632,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.92314176,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"V","last_page":"1081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9990000128746033,"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":0.9794999957084656,"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":0.6417107582092285},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6362571120262146},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6203213334083557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5997662544250488},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.599325954914093},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5323116183280945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5214102268218994},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4668377637863159},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.09973764419555664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6417107582092285},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6362571120262146},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6203213334083557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5997662544250488},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.599325954914093},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5323116183280945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5214102268218994},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4668377637863159},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.09973764419555664},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2006.1661467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:50000361","is_oa":true,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100507382","pdf_url":"http://t2r2.star.titech.ac.jp/rrws/file/CTT100507382/ATD100000413/","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":{"id":"pmh:oai:t2r2.star.titech.ac.jp:50000361","is_oa":true,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100507382","pdf_url":"http://t2r2.star.titech.ac.jp/rrws/file/CTT100507382/ATD100000413/","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"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2133975831.pdf"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W78066864","https://openalex.org/W142852980","https://openalex.org/W1512662930","https://openalex.org/W1988790447","https://openalex.org/W2138865713","https://openalex.org/W2168650738","https://openalex.org/W2407061626","https://openalex.org/W6603158773","https://openalex.org/W6605790962","https://openalex.org/W6630610405","https://openalex.org/W6684619230"],"related_works":["https://openalex.org/W2309273277","https://openalex.org/W2061937230","https://openalex.org/W1769849273","https://openalex.org/W1574295218","https://openalex.org/W113247760","https://openalex.org/W66535911","https://openalex.org/W1967477266","https://openalex.org/W2547793174","https://openalex.org/W2070212102","https://openalex.org/W2132658536"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,84],"automatic":[4],"stream-weight":[5],"and":[6,19,28,39,68,99,104],"threshold":[7,31],"estimation":[8],"method":[9,24,95],"for":[10],"noise-robust":[11],"speaker":[12],"verification":[13],"using":[14,45],"multistream":[15],"HMMs":[16],"integrating":[17],"segmental":[18],"prosodic":[20],"information.":[21],"The":[22],"proposed":[23,94],"simultaneously":[25],"optimizes":[26],"stream-weights":[27,98],"a":[29,60],"decision":[30],"by":[32,51,75],"combining":[33],"the":[34,93,113],"linear":[35],"discriminant":[36],"analysis":[37],"(LDA)":[38],"Adaboost":[40],"techniques.":[41],"Experiments":[42],"were":[43],"conducted":[44],"Japanese":[46],"connected":[47],"digit":[48],"speech":[49],"contaminated":[50],"white":[52],"noise":[53],"with":[54],"various":[55],"SNRs.":[56],"In":[57],"this":[58],"experiment,":[59],"target":[61],"ratio":[62],"of":[63,112],"false":[64,69],"acceptance":[65],"rate":[66,71,87],"(FAR)":[67],"rejection":[70],"(FRR)":[72],"was":[73],"set":[74],"1:1":[76],"so":[77,101],"as":[78],"to":[79,82,108],"adjust":[80],"them":[81],"approach":[83],"equal":[85],"error":[86],"(EER).":[88],"Experimental":[89],"results":[90],"show":[91],"that":[92,102],"effectively":[96],"estimates":[97],"thresholds":[100],"FARs":[103],"FRRs":[105],"are":[106],"adjusted":[107],"EERs":[109],"in":[110],"most":[111],"SNR":[114],"conditions.":[115]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
