{"id":"https://openalex.org/W56349124","doi":"https://doi.org/10.21437/interspeech.2010-323","title":"Reduction of broadband noise in speech signals by multilinear subspace analysis","display_name":"Reduction of broadband noise in speech signals by multilinear subspace analysis","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W56349124","doi":"https://doi.org/10.21437/interspeech.2010-323","mag":"56349124"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-323","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","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/A5112748127","display_name":"Yusuke Sato","orcid":null},"institutions":[{"id":"https://openalex.org/I104946051","display_name":"Nihon University","ror":"https://ror.org/05jk51a88","country_code":"JP","type":"education","lineage":["https://openalex.org/I104946051"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yusuke Sato","raw_affiliation_strings":["Nihon University"],"affiliations":[{"raw_affiliation_string":"Nihon University","institution_ids":["https://openalex.org/I104946051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005459134","display_name":"Tetsuya Hoya","orcid":"https://orcid.org/0000-0001-5097-4389"},"institutions":[{"id":"https://openalex.org/I104946051","display_name":"Nihon University","ror":"https://ror.org/05jk51a88","country_code":"JP","type":"education","lineage":["https://openalex.org/I104946051"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Hoya","raw_affiliation_strings":["Nihon University"],"affiliations":[{"raw_affiliation_string":"Nihon University","institution_ids":["https://openalex.org/I104946051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002348728","display_name":"Hovagim Bakardjian","orcid":"https://orcid.org/0000-0002-6567-4597"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hovagim Bakardjian","raw_affiliation_strings":["Riken"],"affiliations":[{"raw_affiliation_string":"Riken","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018676117","display_name":"Andrzej Cichocki","orcid":"https://orcid.org/0000-0002-8364-7226"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrzej Cichocki","raw_affiliation_strings":["Riken"],"affiliations":[{"raw_affiliation_string":"Riken","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112748127"],"corresponding_institution_ids":["https://openalex.org/I104946051"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00382546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"965","last_page":"968"},"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":0.9995999932289124,"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":0.9987999796867371,"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/multilinear-map","display_name":"Multilinear map","score":0.9418594837188721},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7834941148757935},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.7012839317321777},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6152587532997131},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5956342816352844},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5747202038764954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.556515634059906},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5287180542945862},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4519897401332855},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4478227198123932},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39154067635536194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3677380383014679},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3274679183959961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30670568346977234},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06308221817016602},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05947268009185791}],"concepts":[{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.9418594837188721},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7834941148757935},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.7012839317321777},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6152587532997131},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5956342816352844},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5747202038764954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.556515634059906},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5287180542945862},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4519897401332855},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4478227198123932},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39154067635536194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3677380383014679},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3274679183959961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30670568346977234},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06308221817016602},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05947268009185791},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2010-323","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W38968101","https://openalex.org/W79317937","https://openalex.org/W1999846783","https://openalex.org/W2096779346","https://openalex.org/W2160551639","https://openalex.org/W2164427415"],"related_works":["https://openalex.org/W4318719034","https://openalex.org/W37958683","https://openalex.org/W1999178348","https://openalex.org/W2396820687","https://openalex.org/W4295021234","https://openalex.org/W3035010459","https://openalex.org/W4298178514","https://openalex.org/W4296311369","https://openalex.org/W3151212431","https://openalex.org/W2583155851"],"abstract_inverted_index":{"A":[0],"new":[1],"noise":[2,43],"reduction":[3],"method":[4,14,56,82],"for":[5],"speech":[6,32],"signals":[7],"is":[8,15,72],"proposed":[9,86],"in":[10,57],"this":[11],"paper.":[12],"The":[13],"based":[16,88],"upon":[17,89],"the":[18,26,47,52,84],"N-mode":[19],"singular":[20],"value":[21],"decomposition":[22],"algorithm,":[23],"which":[24],"exploits":[25],"multilinear":[27,53],"subspace":[28,54,91],"analysis":[29,55],"of":[30,59],"given":[31],"data.":[33],"Simulation":[34],"results":[35],"using":[36],"both":[37,60],"synthetically":[38],"generated":[39],"and":[40,63,83],"real":[41],"broadband":[42],"components":[44],"show":[45],"that":[46,75],"enhancement":[48],"quality":[49],"obtained":[50],"by":[51,76],"terms":[58],"segmental":[61],"gain":[62],"cepstral":[64],"distance,":[65],"as":[66,68],"well":[67],"informal":[69],"listening":[70],"tests,":[71],"superior":[73],"to":[74],"a":[77],"conventional":[78],"nonlinear":[79],"spectral":[80],"subtraction":[81],"previously":[85],"approach":[87],"sliding":[90],"projection.":[92]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
