{"id":"https://openalex.org/W2972767900","doi":"https://doi.org/10.21437/interspeech.2019-1550","title":"Recursive Speech Separation for Unknown Number of Speakers","display_name":"Recursive Speech Separation for Unknown Number of Speakers","publication_year":2019,"publication_date":"2019-09-13","ids":{"openalex":"https://openalex.org/W2972767900","doi":"https://doi.org/10.21437/interspeech.2019-1550","mag":"2972767900"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2019-1550","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-1550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","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/A5101589290","display_name":"Naoya Takahashi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naoya Takahashi","raw_affiliation_strings":["Sony Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Corporation, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022669956","display_name":"Parthasaarathy Sudarsanam","orcid":"https://orcid.org/0009-0009-3751-6469"},"institutions":[{"id":"https://openalex.org/I4210090636","display_name":"Wipro (India)","ror":"https://ror.org/001ccf545","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210090636"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudarsanam Parthasaarathy","raw_affiliation_strings":["Sony India Software Centre, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony India Software Centre, India","institution_ids":["https://openalex.org/I4210090636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050759941","display_name":"Nabarun Goswami","orcid":"https://orcid.org/0000-0002-3960-5627"},"institutions":[{"id":"https://openalex.org/I4210090636","display_name":"Wipro (India)","ror":"https://ror.org/001ccf545","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210090636"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nabarun Goswami","raw_affiliation_strings":["Sony India Software Centre, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony India Software Centre, India","institution_ids":["https://openalex.org/I4210090636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088754502","display_name":"Yuki Mitsufuji","orcid":"https://orcid.org/0000-0002-6806-6140"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuki Mitsufuji","raw_affiliation_strings":["Sony Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Corporation, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5088754502"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.4691,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.99273793,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1348","last_page":"1352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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":0.9994999766349792,"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":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7113288640975952},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6516618728637695},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.6022580862045288},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6007310748100281},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.5531929731369019},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4849853515625},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4551612436771393},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4540387988090515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38554930686950684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35082393884658813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32120877504348755},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17178818583488464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113288640975952},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6516618728637695},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.6022580862045288},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6007310748100281},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.5531929731369019},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4849853515625},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4551612436771393},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4540387988090515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38554930686950684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35082393884658813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32120877504348755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17178818583488464},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2019-1550","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-1550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","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":28,"referenced_works":["https://openalex.org/W46110029","https://openalex.org/W185399533","https://openalex.org/W1515206890","https://openalex.org/W1552314771","https://openalex.org/W2036245667","https://openalex.org/W2088361146","https://openalex.org/W2127851351","https://openalex.org/W2129116669","https://openalex.org/W2163605009","https://openalex.org/W2221409856","https://openalex.org/W2558649592","https://openalex.org/W2563534197","https://openalex.org/W2734774145","https://openalex.org/W2735663686","https://openalex.org/W2773082988","https://openalex.org/W2808479354","https://openalex.org/W2889134433","https://openalex.org/W2891054259","https://openalex.org/W2891405874","https://openalex.org/W2892365986","https://openalex.org/W2916618641","https://openalex.org/W2962715207","https://openalex.org/W2962905190","https://openalex.org/W2962935966","https://openalex.org/W2963750251","https://openalex.org/W2963751183","https://openalex.org/W2964058413","https://openalex.org/W2964171275"],"related_works":["https://openalex.org/W2071676784","https://openalex.org/W4292513318","https://openalex.org/W4308092240","https://openalex.org/W2287611352","https://openalex.org/W320684304","https://openalex.org/W1509352139","https://openalex.org/W4385464961","https://openalex.org/W2060903012","https://openalex.org/W2791440692","https://openalex.org/W2077498359"],"abstract_inverted_index":{"In":[0],"this":[1,135],"paper":[2],"we":[3,75],"propose":[4,76,118],"a":[5,61,67,100,127,151],"method":[6,49,91],"of":[7,17,27,45,58,121,124,143],"single-channel":[8],"speakerindependent":[9],"multi-speaker":[10],"speech":[11,37],"separation":[12,38,71,131],"for":[13,42,95],"an":[14],"unknown":[15],"number":[16,26,44,123,142],"speakers.As":[18],"opposed":[19],"to":[20,31,53],"previous":[21],"works,":[22],"in":[23,34,126,147],"which":[24,110],"the":[25,43,70,103,115,119,122,141],"speakers":[28,59,125,144],"is":[29],"assumed":[30],"be":[32,51],"known":[33],"advance":[35,148],"and":[36,84,132],"models":[39],"are":[40],"specific":[41],"speakers,":[46],"our":[47,89],"proposed":[48,90],"can":[50,106,137],"applied":[52],"cases":[54],"with":[55,99],"different":[56],"numbers":[57],"using":[60,150],"single":[62,101],"model":[63,72,105],"by":[64,149],"recursively":[65,73],"separating":[66],"speaker.To":[68],"make":[69],"applicable,":[74],"one-and-rest":[77],"permutation":[78],"invariant":[79],"training":[80],"(OR-PIT).Evaluation":[81],"on":[82],"WSJ0-2mix":[83],"WSJ0-3mix":[85],"datasets":[86],"show":[87,133],"that":[88,134],"achieves":[92],"state-ofthe-art":[93],"results":[94],"two-and":[96],"three-speaker":[97],"mixtures":[98],"model.Moreover,":[102],"same":[104],"separate":[107],"four-speaker":[108],"mixture,":[109],"was":[111],"never":[112],"seen":[113],"during":[114,129],"training.We":[116],"further":[117],"detection":[120,146],"mixture":[128],"recursive":[130],"approach":[136],"more":[138],"accurately":[139],"estimate":[140],"than":[145],"deep":[152],"neural":[153],"network":[154],"based":[155],"classifier.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
