{"id":"https://openalex.org/W3175766066","doi":"https://doi.org/10.1109/i2mtc50364.2021.9459978","title":"Recovery of Noisy Compressively Sensed Speech via Regularized Maximum Feasible Subsystem Algorithm","display_name":"Recovery of Noisy Compressively Sensed Speech via Regularized Maximum Feasible Subsystem Algorithm","publication_year":2021,"publication_date":"2021-05-17","ids":{"openalex":"https://openalex.org/W3175766066","doi":"https://doi.org/10.1109/i2mtc50364.2021.9459978","mag":"3175766066"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc50364.2021.9459978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc50364.2021.9459978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5008690016","display_name":"Fereshteh Fakhar Firouzeh","orcid":"https://orcid.org/0000-0003-3720-5192"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Fereshteh Fakhar Firouzeh","raw_affiliation_strings":["Systems and Computer Engineering, Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Systems and Computer Engineering, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012603099","display_name":"Sreeraman Rajan","orcid":"https://orcid.org/0000-0003-0153-6723"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sreeraman Rajan","raw_affiliation_strings":["Systems and Computer Engineering, Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Systems and Computer Engineering, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052753072","display_name":"John W. Chinneck","orcid":"https://orcid.org/0000-0002-8744-4653"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"J. W. Chinneck","raw_affiliation_strings":["Systems and Computer Engineering, Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Systems and Computer Engineering, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008690016"],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09026363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7400499582290649},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.657406747341156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5853669047355652},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5784670114517212},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.45771709084510803},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.45030155777931213},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44694045186042786},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.27614063024520874},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09097659587860107}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7400499582290649},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.657406747341156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5853669047355652},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5784670114517212},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.45771709084510803},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.45030155777931213},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44694045186042786},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.27614063024520874},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09097659587860107},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc50364.2021.9459978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc50364.2021.9459978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.7300000190734863,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1141027450","https://openalex.org/W1597806057","https://openalex.org/W1605094808","https://openalex.org/W1974387177","https://openalex.org/W1977458753","https://openalex.org/W1993943649","https://openalex.org/W2003227011","https://openalex.org/W2049083558","https://openalex.org/W2076451537","https://openalex.org/W2078204800","https://openalex.org/W2082030917","https://openalex.org/W2104266187","https://openalex.org/W2113369973","https://openalex.org/W2120847449","https://openalex.org/W2129120544","https://openalex.org/W2146687671","https://openalex.org/W2748288783","https://openalex.org/W2793783688","https://openalex.org/W2911160904","https://openalex.org/W2948135333","https://openalex.org/W2963550795","https://openalex.org/W2980292555","https://openalex.org/W3017922080","https://openalex.org/W3039933499","https://openalex.org/W3041589471","https://openalex.org/W3127686677","https://openalex.org/W4240373840","https://openalex.org/W6662515953","https://openalex.org/W6758201331","https://openalex.org/W6789826613"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W2101505280","https://openalex.org/W1964277756","https://openalex.org/W2465351041"],"abstract_inverted_index":{"MAXimum":[0],"Feasible":[1],"Subsystem":[2],"(MAX":[3],"FS)":[4],"algorithms":[5,15],"have":[6],"recently":[7],"been":[8],"shown":[9],"to":[10,32],"outperform":[11],"traditional":[12],"sparse":[13],"recovery":[14,35,59],"for":[16,61],"compressive":[17],"sensing":[18],"of":[19,36],"noiseless":[20],"signals.":[21,85],"In":[22],"this":[23],"paper,":[24],"we":[25],"extend":[26],"an":[27],"existing":[28],"MAX":[29,64],"FS":[30,65],"algorithm":[31,80],"enable":[33],"the":[34,62,75,99,119],"compressed":[37],"noisy":[38,83],"signals":[39,117],"by":[40,104],"introducing":[41],"a":[42,58],"regularization":[43],"parameter":[44],"(the":[45],"<i":[46,49,52],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[47,50,53],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">absolute</i>":[48],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">error</i>":[51],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">tolerance</i>":[54],")":[55],"and":[56,89,113],"provide":[57],"pipeline":[60,101],"regularized":[63],"algorithm.":[66],"The":[67],"new":[68,100],"technique":[69],"provides":[70],"much":[71],"better":[72],"results":[73],"than":[74],"state-of-the-art":[76],"Smoothed":[77],"L0":[78],"(SL0)":[79],"tested":[81],"on":[82,108],"speech":[84,116],"For":[86],"50%":[87],"compression":[88],"with":[90],"additive":[91],"White":[92],"Gaussian":[93],"Noise":[94],"(WGN)":[95],"at":[96],"-5":[97],"dB,":[98],"outperforms":[102],"SL0":[103],"about":[105],"6":[106],"dB":[107],"average":[109],"over":[110],"50":[111,114],"male":[112],"female":[115],"from":[118],"TIMIT":[120],"dataset.":[121]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
