{"id":"https://openalex.org/W67063673","doi":"https://doi.org/10.21437/interspeech.2010-136","title":"Speaker recognition using supervised probabilistic principal component analysis","display_name":"Speaker recognition using supervised probabilistic principal component analysis","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W67063673","doi":"https://doi.org/10.21437/interspeech.2010-136","mag":"67063673"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-136","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","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/A5101648572","display_name":"Yun Lei","orcid":"https://orcid.org/0000-0003-4572-6078"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yun Lei","raw_affiliation_strings":["University of Texas at Dallas"],"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057910370","display_name":"John H. L. Hansen","orcid":"https://orcid.org/0000-0003-1382-9929"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John H. L. Hansen","raw_affiliation_strings":["Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101648572"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3531,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82960187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"382","last_page":"385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9955000281333923,"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/T11309","display_name":"Music and Audio Processing","score":0.9503999948501587,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.7966201305389404},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7804880142211914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7582312822341919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7270210385322571},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6659689545631409},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6477986574172974},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.6153659820556641},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.5739279389381409},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.550623893737793},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5066202878952026},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.44515663385391235},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.4231628179550171},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33722057938575745}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7966201305389404},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7804880142211914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7582312822341919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7270210385322571},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6659689545631409},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6477986574172974},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.6153659820556641},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.5739279389381409},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.550623893737793},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5066202878952026},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.44515663385391235},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.4231628179550171},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33722057938575745},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2010-136","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W111477576","https://openalex.org/W1485231155","https://openalex.org/W1916834241","https://openalex.org/W1944008203","https://openalex.org/W2097464745","https://openalex.org/W2103731208","https://openalex.org/W2107638917","https://openalex.org/W2121415728","https://openalex.org/W2125290066","https://openalex.org/W2130955819","https://openalex.org/W2136879537","https://openalex.org/W2144760012","https://openalex.org/W2146610201","https://openalex.org/W2150769028","https://openalex.org/W2397634864"],"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/W4380838366","https://openalex.org/W3148366653"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"a":[3,22,36,95],"supervised":[4,107],"probabilistic":[5,29],"principal":[6,30],"component":[7,31],"analysis":[8,24,32],"(SPPCA)":[9],"model":[10,34,48],"is":[11,49,75],"proposed":[12,47,62],"in":[13,72],"order":[14],"to":[15,51,97],"integrate":[16],"the":[17,27,46,58,73,78,98],"speaker":[18,103],"label":[19],"information":[20],"into":[21],"factor":[23,44,105],"approach":[25],"using":[26,77],"well-known":[28],"(PPCA)":[33],"under":[35],"support":[37],"vector":[38],"machine":[39],"(SVM)":[40],"framework.":[41],"The":[42,61],"latent":[43],"from":[45,57],"believed":[50],"be":[52],"more":[53],"discriminative":[54],"than":[55],"one":[56],"PPCA":[59,99],"model.":[60,100],"model,":[63],"combined":[64],"with":[65,94],"different":[66],"types":[67],"of":[68,81],"intersession":[69],"compensation":[70],"techniques":[71],"back-end,":[74],"evaluated":[76],"National":[79],"Institute":[80],"Standards":[82],"and":[83],"Technology":[84],"(NIST)":[85],"Speaker":[86],"Recognition":[87],"Evaluation":[88],"(SRE)":[89],"2008":[90],"data":[91],"corpus,":[92],"along":[93],"comparison":[96],"Index":[101],"Terms:":[102],"recognition,":[104],"analysis,":[106],"modeling":[108]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}