{"id":"https://openalex.org/W2162079708","doi":"https://doi.org/10.1109/icassp.2005.1415139","title":"Closely Coupled Array Processing and Model-Based Compensation for Microphone Array Speech Recognition","display_name":"Closely Coupled Array Processing and Model-Based Compensation for Microphone Array Speech Recognition","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W2162079708","doi":"https://doi.org/10.1109/icassp.2005.1415139","mag":"2162079708"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1415139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","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/A5102162648","display_name":"Xianyu Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianyu Zhao","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010173604","display_name":"Zhijian Ou","orcid":"https://orcid.org/0000-0002-9018-5074"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijian Ou","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103352453","display_name":"Minhua Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minhua Chen","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024726193","display_name":"Zuoying Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuoying Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"417","last_page":"420"},"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/T11309","display_name":"Music and Audio Processing","score":0.9954000115394592,"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/speech-recognition","display_name":"Speech recognition","score":0.7439092397689819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7366437911987305},{"id":"https://openalex.org/keywords/microphone-array","display_name":"Microphone array","score":0.6870864629745483},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5860331058502197},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5707927942276001},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5453502535820007},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5277807116508484},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.502427339553833},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.4957031011581421},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.47474271059036255},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.460771769285202},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.350802481174469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2870713174343109},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2582539916038513},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2460254728794098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14464205503463745},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0873684287071228}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7439092397689819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366437911987305},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.6870864629745483},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5860331058502197},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5707927942276001},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5453502535820007},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5277807116508484},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.502427339553833},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.4957031011581421},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.47474271059036255},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.460771769285202},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.350802481174469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2870713174343109},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2582539916038513},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2460254728794098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14464205503463745},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0873684287071228},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2005.1415139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W35070573","https://openalex.org/W81726370","https://openalex.org/W87586386","https://openalex.org/W174003511","https://openalex.org/W1492221128","https://openalex.org/W1515932869","https://openalex.org/W1558276682","https://openalex.org/W1573570773","https://openalex.org/W1651870529","https://openalex.org/W1931312565","https://openalex.org/W2010023285","https://openalex.org/W2027750256","https://openalex.org/W2045036776","https://openalex.org/W2046317813","https://openalex.org/W2049633694","https://openalex.org/W2093225945","https://openalex.org/W2096005757","https://openalex.org/W2099655464","https://openalex.org/W2099984896","https://openalex.org/W2101609516","https://openalex.org/W2106958364","https://openalex.org/W2116623987","https://openalex.org/W2126597753","https://openalex.org/W2130361043","https://openalex.org/W2139828226","https://openalex.org/W2149693148","https://openalex.org/W2155276444","https://openalex.org/W4249052411","https://openalex.org/W6601391444","https://openalex.org/W6633191483","https://openalex.org/W6634340323"],"related_works":["https://openalex.org/W1879255185","https://openalex.org/W2361247493","https://openalex.org/W2157330024","https://openalex.org/W2769861442","https://openalex.org/W1980506188","https://openalex.org/W2380771148","https://openalex.org/W2396048001","https://openalex.org/W1998374630","https://openalex.org/W2528250906","https://openalex.org/W4240587264"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,27,35,99],"new":[4,131],"microphone":[5],"array":[6,13],"speech":[7,17,63,86,136,141],"recognition":[8,137],"system":[9,25,132],"in":[10,55,83,98,139],"which":[11],"the":[12,16,56,60,65,68,77,80,84,89,119,125,130,135],"processor":[14],"and":[15],"recognizer":[18,36],"are":[19],"closely":[20],"coupled":[21],"is":[22,59,67,73,96,115],"studied.":[23],"The":[24,43,94],"includes":[26],"generalized":[28],"sidelobe":[29],"canceller":[30],"(GSC)":[31],"beamformer":[32,45],"followed":[33],"by":[34],"with":[37],"vector":[38],"Taylor":[39],"series":[40],"(VTS)":[41],"compensation.":[42],"GSC":[44,85,90],"provides":[46],"two":[47],"outputs,":[48],"allowing":[49],"more":[50],"information":[51],"to":[52,75,117],"be":[53],"used":[54,74],"recognizer.":[57],"One":[58],"enhanced":[61],"target":[62],"output,":[64,87],"other":[66],"reference":[69,91],"noise":[70,82,92],"output.":[71,93],"VTS":[72],"compensate":[76],"effect":[78],"of":[79],"residual":[81],"utilizing":[88],"compensation":[95,120],"done":[97],"minimum":[100],"mean":[101],"square":[102],"error":[103],"(MMSE)":[104],"sense.":[105],"Moreover,":[106],"an":[107,111],"iteration":[108],"procedure":[109],"using":[110],"expectation-maximization":[112],"(EM)":[113],"algorithm":[114],"developed":[116],"refine":[118],"parameters.":[121],"Experimental":[122],"results":[123],"on":[124],"MONC":[126],"database":[127],"showed":[128],"that":[129],"significantly":[133],"improved":[134],"performance":[138],"overlapping":[140],"situations.":[142]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}