{"id":"https://openalex.org/W2401527147","doi":"https://doi.org/10.21437/interspeech.2015-666","title":"Joint optimization of recurrent networks exploiting source auto-regression for source separation","display_name":"Joint optimization of recurrent networks exploiting source auto-regression for source separation","publication_year":2015,"publication_date":"2015-09-06","ids":{"openalex":"https://openalex.org/W2401527147","doi":"https://doi.org/10.21437/interspeech.2015-666","mag":"2401527147"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2015-666","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","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/A5068044387","display_name":"Shuai Nie","orcid":"https://orcid.org/0000-0002-8078-6829"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuai Nie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652844","display_name":"Wei Xue","orcid":"https://orcid.org/0000-0002-4942-7748"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Xue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108575841","display_name":"Shan Liang","orcid":"https://orcid.org/0000-0002-9734-9166"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shan Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693230","display_name":"Xueliang Zhang","orcid":"https://orcid.org/0000-0002-0406-1105"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xueliang Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039635290","display_name":"Wenju Liu","orcid":"https://orcid.org/0000-0001-9088-8282"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenju Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032883049","display_name":"Liwei Qiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liwei Qiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056362617","display_name":"Jianping Kelvin Li","orcid":"https://orcid.org/0000-0002-7702-7450"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianping Li","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":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3307","last_page":"3311"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980999827384949,"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":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7215127348899841},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6737579107284546},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5424234867095947},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.5238604545593262},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.4489976465702057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3528524339199066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2263641357421875},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.134600430727005},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10458266735076904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7215127348899841},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6737579107284546},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5424234867095947},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.5238604545593262},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.4489976465702057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3528524339199066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2263641357421875},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.134600430727005},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10458266735076904},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2015-666","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-125513","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-125513","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W146976060","https://openalex.org/W1498436455","https://openalex.org/W1963970749","https://openalex.org/W2031647436","https://openalex.org/W2046869671","https://openalex.org/W2051434435","https://openalex.org/W2069501481","https://openalex.org/W2069681747","https://openalex.org/W2075036909","https://openalex.org/W2078528584","https://openalex.org/W2094461119","https://openalex.org/W2103135337","https://openalex.org/W2124539664","https://openalex.org/W2143612262","https://openalex.org/W2152937398","https://openalex.org/W2164098335","https://openalex.org/W2290318471","https://openalex.org/W2405258286"],"related_works":["https://openalex.org/W1509813908","https://openalex.org/W2031820693","https://openalex.org/W3024816962","https://openalex.org/W973023320","https://openalex.org/W1910172735","https://openalex.org/W2118307209","https://openalex.org/W2107364365","https://openalex.org/W2539388437","https://openalex.org/W2107688514","https://openalex.org/W2137288760"],"abstract_inverted_index":{"In":[0,9],"music":[1,24],"interferences":[2],"condition,":[3],"source":[4,27,42],"separation":[5],"is":[6,92,143],"very":[7],"difficult.":[8],"this":[10],"paper,":[11],"we":[12,47,107],"propose":[13],"a":[14,110],"novel":[15],"recurrent":[16,69],"network":[17],"exploiting":[18],"the":[19,33,41,45,50,58,68,75,78,83,96,100,119,124,134,140,146],"auto-regressions":[20],"of":[21,53,85,103,129],"speech":[22,54,88,104,130],"and":[23,55,89,105,114,126,131],"interference":[25,56,90,132],"for":[26,95,118],"separation.":[28,43,135],"An":[29],"auto-regression":[30],"can":[31],"capture":[32],"shortterm":[34],"temporal":[35],"dependencies":[36,128],"in":[37,67,149],"data":[38],"to":[39,72],"help":[40],"For":[44],"separation,":[46],"independently":[48],"separate":[49],"magnitude":[51],"spectra":[52,60,102],"from":[57],"mixture":[59],"by":[61],"including":[62],"an":[63],"extra":[64,79],"masking":[65,80],"layer":[66,81],"network.":[70],"Compared":[71],"directly":[73],"evaluating":[74],"ideal":[76],"mask,":[77],"relaxes":[82],"assumption":[84],"independence":[86],"between":[87],"which":[91,122],"more":[93],"suitable":[94],"realworld":[97],"environments.":[98],"Using":[99],"separated":[101],"interference,":[106],"further":[108],"explore":[109],"discriminative":[111],"training":[112],"objective":[113],"joint":[115],"optimization":[116],"framework":[117],"proposed":[120,141],"network,":[121],"incorporates":[123],"correlations":[125],"spectral":[127],"into":[133],"Systematic":[136],"experiments":[137],"show":[138],"that":[139],"model":[142],"competitive":[144],"with":[145],"state-of-the-art":[147],"method":[148],"singing-voice":[150],"separations.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
