{"id":"https://openalex.org/W2100982643","doi":"https://doi.org/10.1109/icassp.2003.1202331","title":"A SVM/HMM system for speaker recognition","display_name":"A SVM/HMM system for speaker recognition","publication_year":2003,"publication_date":"2003-12-22","ids":{"openalex":"https://openalex.org/W2100982643","doi":"https://doi.org/10.1109/icassp.2003.1202331","mag":"2100982643"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2003.1202331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1202331","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/A5061064027","display_name":"William M. Campbell","orcid":"https://orcid.org/0000-0003-1657-5872"},"institutions":[{"id":"https://openalex.org/I2802964274","display_name":"Interface (United States)","ror":"https://ror.org/04nvtmr42","country_code":"US","type":"company","lineage":["https://openalex.org/I2802964274"]},{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"W.M. Campbell","raw_affiliation_strings":["Human Interface Laboratory, Motorola, Tempe, AZ, USA","Motorola Human Interface Lab., Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Human Interface Laboratory, Motorola, Tempe, AZ, USA","institution_ids":["https://openalex.org/I1333370159","https://openalex.org/I2802964274"]},{"raw_affiliation_string":"Motorola Human Interface Lab., Tempe, AZ, USA","institution_ids":["https://openalex.org/I1333370159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061064027"],"corresponding_institution_ids":["https://openalex.org/I1333370159","https://openalex.org/I2802964274"],"apc_list":null,"apc_paid":null,"fwci":3.0827,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92207792,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"209"},"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/T11309","display_name":"Music and Audio Processing","score":0.9955000281333923,"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/T10860","display_name":"Speech and Audio Processing","score":0.9954000115394592,"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":0.9217187166213989},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.80756676197052},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7876253724098206},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.7604185938835144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7402313947677612},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7316970825195312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7034991383552551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6425711512565613},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.5897966623306274},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.5784793496131897},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5487806797027588},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5008261203765869},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44281578063964844},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4347038269042969},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.41553449630737305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11656486988067627}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.9217187166213989},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.80756676197052},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7876253724098206},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.7604185938835144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7402313947677612},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7316970825195312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7034991383552551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6425711512565613},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.5897966623306274},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.5784793496131897},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5487806797027588},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5008261203765869},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44281578063964844},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4347038269042969},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.41553449630737305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11656486988067627},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2003.1202331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1202331","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W26816478","https://openalex.org/W27330518","https://openalex.org/W1534221517","https://openalex.org/W1606615002","https://openalex.org/W1894664571","https://openalex.org/W2012908927","https://openalex.org/W2041823554","https://openalex.org/W2105813274","https://openalex.org/W2109774923","https://openalex.org/W2167768673","https://openalex.org/W3145606929","https://openalex.org/W3147322592","https://openalex.org/W6601080436","https://openalex.org/W6601129127","https://openalex.org/W6631837498","https://openalex.org/W6636350478"],"related_works":["https://openalex.org/W3178296206","https://openalex.org/W2206035908","https://openalex.org/W1493012537","https://openalex.org/W2162158162","https://openalex.org/W4247736853","https://openalex.org/W2175373321","https://openalex.org/W2125642021","https://openalex.org/W4310979479","https://openalex.org/W1999004162","https://openalex.org/W4280634406"],"abstract_inverted_index":{"A":[0,14],"framework":[1],"for":[2,46],"combining":[3],"support":[4,38,66],"vector":[5,39,67],"machines":[6],"with":[7,18],"hidden":[8],"Markov":[9],"models":[10],"(HMM)":[11],"is":[12,16,33],"given.":[13],"HMM":[15],"used":[17],"a":[19,24,37,65],"Viterbi":[20],"alignment":[21],"to":[22],"generate":[23],"set":[25],"of":[26,28],"subsequences":[27],"feature":[29],"vectors.":[30],"Each":[31],"subsequence":[32],"then":[34],"scored":[35],"using":[36],"machine":[40,68],"sequence":[41],"kernel.":[42],"Experiments":[43],"are":[44],"performed":[45],"both":[47],"text-independent":[48],"and":[49],"text-prompted":[50],"speaker":[51],"recognition":[52],"tasks.":[53],"Results":[54],"show":[55],"that":[56],"the":[57],"method":[58],"can":[59],"dramatically":[60],"reduce":[61],"error":[62],"rates":[63],"over":[64],"(SVM)":[69],"only":[70],"system.":[71]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
