{"id":"https://openalex.org/W3195050710","doi":"https://doi.org/10.21437/interspeech.2021-750","title":"Target-Speaker Voice Activity Detection with Improved i-Vector Estimation for Unknown Number of Speaker","display_name":"Target-Speaker Voice Activity Detection with Improved i-Vector Estimation for Unknown Number of Speaker","publication_year":2021,"publication_date":"2021-08-27","ids":{"openalex":"https://openalex.org/W3195050710","doi":"https://doi.org/10.21437/interspeech.2021-750","mag":"3195050710"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2021-750","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","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/A5018657729","display_name":"Maokui He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maokui He","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004777817","display_name":"Desh Raj","orcid":"https://orcid.org/0000-0002-5038-9400"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Desh Raj","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101619225","display_name":"Zili Huang","orcid":"https://orcid.org/0000-0003-1238-8017"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zili Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066595711","display_name":"Jun Du","orcid":"https://orcid.org/0000-0002-2387-0389"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Du","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108961732","display_name":"Zhuo Chen","orcid":"https://orcid.org/0009-0007-3882-3810"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhuo Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001291873","display_name":"Shinji Watanabe","orcid":"https://orcid.org/0000-0002-5970-8631"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shinji Watanabe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3555","last_page":"3559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9987999796867371,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9437999725341797,"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/speaker-diarisation","display_name":"Speaker diarisation","score":0.9256335496902466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7842907905578613},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.6822612285614014},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6643195748329163},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6412051916122437},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.60597825050354},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5696651339530945},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.524979293346405},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.4421222507953644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3715741038322449},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.3641846776008606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3547336459159851},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07604378461837769}],"concepts":[{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.9256335496902466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7842907905578613},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.6822612285614014},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6643195748329163},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6412051916122437},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.60597825050354},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5696651339530945},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.524979293346405},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.4421222507953644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3715741038322449},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.3641846776008606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3547336459159851},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07604378461837769},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2021-750","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2206035908","https://openalex.org/W2149220986","https://openalex.org/W1493012537","https://openalex.org/W4247736853","https://openalex.org/W2162158162","https://openalex.org/W1999004162","https://openalex.org/W2125642021","https://openalex.org/W1521049138","https://openalex.org/W2023466863","https://openalex.org/W2696990509"],"abstract_inverted_index":{"Target-speaker":[0],"voice":[1],"activity":[2],"detection":[3],"(TS-VAD)":[4],"has":[5],"recently":[6],"shown":[7],"promising":[8],"results":[9,148],"for":[10,63,89,112],"speaker":[11,43,64],"diarization":[12,44,59,81],"on":[13,120],"highly":[14],"overlapped":[15],"speech.":[16],"However,":[17],"the":[18,91,110,123,133],"original":[19],"model":[20],"requires":[21],"a":[22,102],"fixed":[23],"(and":[24],"known)":[25],"number":[26,65],"of":[27,48,122,143],"speakers,":[28],"which":[29],"limits":[30],"its":[31],"application":[32],"to":[33,42,74,105,137],"real":[34],"conversations.":[35],"In":[36],"this":[37,75],"paper,":[38],"we":[39,100],"extend":[40],"TS-VAD":[41,69],"with":[45],"unknown":[46],"numbers":[47,142],"speakers.":[49,144],"This":[50,145],"is":[51,61],"achieved":[52],"by":[53,68,135],"two":[54],"steps:":[55],"first,":[56],"an":[57,113],"initial":[58,92],"system":[60],"applied":[62],"estimation,":[66],"followed":[67],"network":[70],"output":[71],"masking":[72],"according":[73],"estimate.":[76],"We":[77,116],"further":[78],"investigate":[79],"different":[80],"methods,":[82],"including":[83],"clustering-based":[84],"and":[85],"region":[86],"proposal":[87],"networks,":[88],"estimating":[90],"i-vectors.":[93],"Since":[94],"these":[95],"systems":[96,111],"have":[97],"complementary":[98],"strengths,":[99],"propose":[101],"fusion-based":[103],"method":[104],"combine":[106],"frame-level":[107],"decisions":[108],"from":[109],"improved":[114],"initialization.":[115],"demonstrate":[117],"through":[118],"experiments":[119],"variants":[121],"LibriCSS":[124],"meeting":[125],"corpus":[126],"that":[127,155],"our":[128],"proposed":[129],"approach":[130],"can":[131],"improve":[132],"DER":[134],"up":[136],"50\\%":[138],"relative":[139],"across":[140],"varying":[141],"improvement":[146],"also":[147],"in":[149],"better":[150],"downstream":[151],"ASR":[152],"performance":[153],"approaching":[154],"using":[156],"oracle":[157],"segments.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
