{"id":"https://openalex.org/W2548487638","doi":"https://doi.org/10.1109/taslp.2016.2625458","title":"Window-Dominant Signal Subspace Methods for Multiple Short-Term Speech Source Localization","display_name":"Window-Dominant Signal Subspace Methods for Multiple Short-Term Speech Source Localization","publication_year":2016,"publication_date":"2016-11-04","ids":{"openalex":"https://openalex.org/W2548487638","doi":"https://doi.org/10.1109/taslp.2016.2625458","mag":"2548487638"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2016.2625458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2016.2625458","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5002316942","display_name":"Dongwen Ying","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongwen Ying","raw_affiliation_strings":["Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013306597","display_name":"Ruohua Zhou","orcid":"https://orcid.org/0000-0002-2956-0680"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruohua Zhou","raw_affiliation_strings":["Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450058","display_name":"Junfeng Li","orcid":"https://orcid.org/0000-0002-6272-9169"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Li","raw_affiliation_strings":["Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100425112","display_name":"Yonghong Yan","orcid":"https://orcid.org/0000-0001-6907-5770"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Yan","raw_affiliation_strings":["Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7502,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.72493356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"25","issue":"4","first_page":"731","last_page":"744"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9991000294685364,"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":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7098732590675354},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.655866801738739},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6100823879241943},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5736161470413208},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5666165351867676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5582587718963623},{"id":"https://openalex.org/keywords/bin","display_name":"Bin","score":0.5219623446464539},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.49822568893432617},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46139001846313477},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44958898425102234},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.42412033677101135},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4169422388076782},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4123415946960449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3770074248313904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.231886088848114},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.1829940676689148}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7098732590675354},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.655866801738739},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6100823879241943},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5736161470413208},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5666165351867676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5582587718963623},{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.5219623446464539},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.49822568893432617},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46139001846313477},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44958898425102234},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.42412033677101135},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4169422388076782},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4123415946960449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3770074248313904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.231886088848114},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.1829940676689148},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2016.2625458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2016.2625458","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G13569706","display_name":"\u57fa\u4e8e\u9ea6\u514b\u98ce\u9635\u5217\u7684\u591a\u6e90\u8bed\u97f3\u573a\u666f\u5b9e\u65f6\u5206\u6790\u7814\u7a76","funder_award_id":"61671442","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2642921961","display_name":null,"funder_award_id":"91120001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4130480434","display_name":null,"funder_award_id":"11461141004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6657427635","display_name":"\u8bed\u97f3\u7f3a\u5931\u9891\u8c31\u91cd\u5efa\u53ca\u8bed\u97f3\u9891\u8c31\u4e8c\u7ef4\u76f8\u5173\u6027\u5efa\u6a21\u7684\u7814\u7a76","funder_award_id":"61271426","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1609132941","https://openalex.org/W1964998538","https://openalex.org/W1966081805","https://openalex.org/W1968756604","https://openalex.org/W1969299255","https://openalex.org/W1987906574","https://openalex.org/W1991032800","https://openalex.org/W1991112797","https://openalex.org/W1994630425","https://openalex.org/W2018205510","https://openalex.org/W2020107464","https://openalex.org/W2021196544","https://openalex.org/W2025868981","https://openalex.org/W2040882869","https://openalex.org/W2041534670","https://openalex.org/W2046039020","https://openalex.org/W2060256202","https://openalex.org/W2067584370","https://openalex.org/W2068493985","https://openalex.org/W2075815580","https://openalex.org/W2087873531","https://openalex.org/W2092372277","https://openalex.org/W2096329835","https://openalex.org/W2097610668","https://openalex.org/W2100335648","https://openalex.org/W2113638573","https://openalex.org/W2113679114","https://openalex.org/W2114219351","https://openalex.org/W2116635162","https://openalex.org/W2117678320","https://openalex.org/W2123701557","https://openalex.org/W2124906580","https://openalex.org/W2126923742","https://openalex.org/W2128131274","https://openalex.org/W2128562854","https://openalex.org/W2132920253","https://openalex.org/W2136484266","https://openalex.org/W2137185369","https://openalex.org/W2141884927","https://openalex.org/W2154604839","https://openalex.org/W2156642994","https://openalex.org/W2160557558","https://openalex.org/W2160783189","https://openalex.org/W2163994287","https://openalex.org/W2165548826","https://openalex.org/W2167773605","https://openalex.org/W2168837636","https://openalex.org/W2170393302","https://openalex.org/W2171252030","https://openalex.org/W2403407569","https://openalex.org/W2534981247","https://openalex.org/W4250500702","https://openalex.org/W6674435599","https://openalex.org/W6674864272","https://openalex.org/W6677097577","https://openalex.org/W6679438253"],"related_works":["https://openalex.org/W2153912708","https://openalex.org/W2379264914","https://openalex.org/W2118094278","https://openalex.org/W2639400695","https://openalex.org/W2949173582","https://openalex.org/W4300048032","https://openalex.org/W2089410207","https://openalex.org/W2367577754","https://openalex.org/W2387532542","https://openalex.org/W2362066488"],"abstract_inverted_index":{"Signal":[0],"subspace":[1,14,42,111],"has":[2],"been":[3],"widely":[4],"exploited":[5],"to":[6,51,79,107],"localize":[7,52],"multiple":[8],"speech":[9,28,54],"sources.":[10,55,146],"However,":[11],"most":[12],"signal":[13,41,110],"methods":[15,57,187],"cannot":[16],"count":[17],"the":[18,31,61,80,96,100,109,113,120,126,132,140,155,160,163,169,176,185],"number":[19,133],"of":[20,27,99,112,119,134,143,154,168,178,184],"sources,":[21],"and":[22,45,131,192],"do":[23],"not":[24],"make":[25],"use":[26],"sparsity":[29,63],"in":[30,165],"frequency":[32],"domain.":[33],"This":[34],"paper":[35],"presents":[36],"a":[37,46,151],"grid":[38],"search":[39],"window-dominant":[40,114,170],"(GS-WDSS)":[43],"method":[44,50],"closed-form":[47],"WDSS":[48],"(CF-WDSS)":[49],"short-term":[53],"Such":[56],"are":[58,136],"based":[59],"upon":[60],"generalized":[62,93,156,161],"assumption":[64,82,94,149],"that":[65,83],"each":[66,84,105],"window":[67,106],"containing":[68],"some":[69],"time-adjacent":[70],"bins":[71],"is":[72,87,123,150,172,188],"dominated":[73,88],"by":[74,89,190],"one":[75,90],"source,":[76],"as":[77],"opposed":[78],"conventional":[81,148],"individual":[85],"bin":[86],"source.":[91,115],"The":[92,116,129,147,182],"enables":[95],"principal":[97,127],"eigenvector":[98],"spatial":[101],"correlation":[102],"matrix":[103],"on":[104],"span":[108],"direction-of-arrival":[117],"(DOA)":[118],"dominant":[121,145],"source":[122],"estimated":[124],"from":[125,139],"eigenvector.":[128],"DOAs":[130,167],"sources":[135,171],"eventually":[137],"summarized":[138],"DOA":[141],"histogram":[142],"all":[144],"special":[152],"case":[153],"assumption.":[157],"By":[158],"using":[159],"assumption,":[162],"performance":[164],"estimating":[166],"significantly":[173],"improved":[174],"at":[175],"cost":[177],"acceptable":[179],"masking":[180],"effect.":[181],"superiority":[183],"proposed":[186],"verified":[189],"simulated":[191],"real":[193],"experiments.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}