{"id":"https://openalex.org/W2891133971","doi":"https://doi.org/10.1109/icassp.2018.8462658","title":"GSC-Based Binaural Speaker Separation Preserving Spatial Cues","display_name":"GSC-Based Binaural Speaker Separation Preserving Spatial Cues","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2891133971","doi":"https://doi.org/10.1109/icassp.2018.8462658","mag":"2891133971"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5053479846","display_name":"Mehdi Zohourian","orcid":"https://orcid.org/0000-0003-0644-7527"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mehdi Zohourian","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064880163","display_name":"Rainer Martin","orcid":"https://orcid.org/0000-0002-9587-4215"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Martin","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8314,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73949032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"516","last_page":"520"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9926000237464905,"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/binaural-recording","display_name":"Binaural recording","score":0.9639443159103394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6687566637992859},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6565806269645691},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5935490131378174},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5524498820304871},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45435065031051636},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4337224066257477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3329855501651764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31045037508010864}],"concepts":[{"id":"https://openalex.org/C201247586","wikidata":"https://www.wikidata.org/wiki/Q5612967","display_name":"Binaural recording","level":2,"score":0.9639443159103394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6687566637992859},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6565806269645691},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5935490131378174},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5524498820304871},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45435065031051636},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4337224066257477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3329855501651764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31045037508010864},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8462658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":32,"referenced_works":["https://openalex.org/W189850294","https://openalex.org/W1552314771","https://openalex.org/W1614886494","https://openalex.org/W1910234244","https://openalex.org/W1919482273","https://openalex.org/W1986423218","https://openalex.org/W2009649672","https://openalex.org/W2034040413","https://openalex.org/W2071387240","https://openalex.org/W2121894251","https://openalex.org/W2121973264","https://openalex.org/W2125768106","https://openalex.org/W2127292597","https://openalex.org/W2127543907","https://openalex.org/W2129171989","https://openalex.org/W2140889287","https://openalex.org/W2141998673","https://openalex.org/W2145957927","https://openalex.org/W2171784699","https://openalex.org/W2397700649","https://openalex.org/W2402058645","https://openalex.org/W2568308529","https://openalex.org/W2620940164","https://openalex.org/W2735973601","https://openalex.org/W2773475413","https://openalex.org/W4214498238","https://openalex.org/W6678283709","https://openalex.org/W6679004431","https://openalex.org/W6685334852","https://openalex.org/W6712829417","https://openalex.org/W6712893967","https://openalex.org/W6738401691"],"related_works":["https://openalex.org/W2766995619","https://openalex.org/W4224270619","https://openalex.org/W2168148781","https://openalex.org/W1991848873","https://openalex.org/W2026165661","https://openalex.org/W2099651033","https://openalex.org/W2783525307","https://openalex.org/W2593008828","https://openalex.org/W2155323221","https://openalex.org/W2129982571"],"abstract_inverted_index":{"In":[0,41,73],"this":[1],"paper":[2],"we":[3],"investigate":[4],"two":[5,70],"methods":[6,20],"for":[7,38,176],"the":[8,42,45,52,74,77,83,89,96,103,107,118,123,132,135,146,159,162,168,171,177],"preservation":[9,178],"of":[10,23,51,60,131,134,161,170,179,182],"spatial":[11],"cues":[12,181],"in":[13,69,158],"binaural":[14,78,124,180],"speaker":[15,39],"separation.":[16],"We":[17,115],"develop":[18],"these":[19],"as":[21,55,57,143,153,155],"extensions":[22],"our":[24],"previously":[25],"proposed":[26,43],"model-based":[27],"generalized":[28],"sidelobe":[29],"canceller":[30],"(GSC)":[31],"which":[32,92],"utilizes":[33],"a":[34,111],"maximum":[35],"likelihood":[36],"technique":[37,126],"localization.":[40,98],"implementation":[44],"adaptive":[46,119],"GSC":[47,84,104],"provides":[48],"an":[49,58],"estimate":[50],"target":[53,61,184],"signal":[54,86,137],"well":[56,154],"estimation":[59],"presence":[62,160],"probability":[63],"(TPP).":[64],"Binaural":[65],"outputs":[66],"are":[67,80,93],"generated":[68],"different":[71],"ways:":[72],"first":[75],"approach":[76,101],"signals":[79],"rendered":[81],"using":[82],"output":[85,105],"combined":[87,121],"with":[88,122],"HRTF":[90],"hypotheses":[91],"adapted":[94],"by":[95],"broadband":[97],"The":[99],"second":[100],"uses":[102],"and":[106,138,185],"TPP":[108],"to":[109,128,145],"determine":[110],"common":[112,147],"spectral":[113,148,174],"postfilter.":[114,149],"find":[116],"that":[117],"beamformer":[120],"rendering":[125],"leads":[127],"larger":[129],"improvements":[130],"quality":[133],"desired":[136],"delivers":[139],"less":[140],"unnatural":[141],"fluctuations":[142],"compared":[144],"Informal":[150],"subjective":[151],"tests":[152],"instrumental":[156],"measurements":[157],"listener":[163],"head":[164],"movements":[165],"reveals,":[166],"however,":[167],"benefit":[169],"spatially":[172],"motivated":[173],"postfilter":[175],"both":[183],"interferer":[186],"signals.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
