{"id":"https://openalex.org/W2162477171","doi":"https://doi.org/10.1109/icassp.2012.6288879","title":"A highly non-stationary noise tracking and compensation algorithm, with applications to speech enhancement and on-line ASR","display_name":"A highly non-stationary noise tracking and compensation algorithm, with applications to speech enhancement and on-line ASR","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2162477171","doi":"https://doi.org/10.1109/icassp.2012.6288879","mag":"2162477171"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 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/A5110267547","display_name":"Md Foezur Rahman Chowdhury","orcid":null},"institutions":[{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Md Foezur Rahman Chowdhury","raw_affiliation_strings":["INRS-EMT, Universit\u00e9 du Qu\u00e0bec, Montreal, QUE, Canada"],"affiliations":[{"raw_affiliation_string":"INRS-EMT, Universit\u00e9 du Qu\u00e0bec, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I39481719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055849526","display_name":"Sid\u2010Ahmed Selouani","orcid":"https://orcid.org/0000-0003-0731-2632"},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sid-Ahmed Selouani","raw_affiliation_strings":["Universit\u00e9 de Moncton, NB, Canada"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Moncton, NB, Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011489869","display_name":"Douglas O\u2019Shaughnessy","orcid":"https://orcid.org/0000-0002-0110-2346"},"institutions":[{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Douglas O'Shaughnessy","raw_affiliation_strings":["INRS-EMT, Universit\u00e9 du Qu\u00e0bec, Montreal, QUE, Canada"],"affiliations":[{"raw_affiliation_string":"INRS-EMT, Universit\u00e9 du Qu\u00e0bec, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I39481719"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110267547"],"corresponding_institution_ids":["https://openalex.org/I39481719"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19728722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4337","last_page":"4340"},"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/T11309","display_name":"Music and Audio Processing","score":0.9986000061035156,"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":0.9983999729156494,"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/maxima-and-minima","display_name":"Maxima and minima","score":0.7372486591339111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6946972012519836},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6121561527252197},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5281914472579956},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5260346531867981},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5070028305053711},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.503142774105072},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44946885108947754},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4266738295555115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41746559739112854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41462454199790955},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41432806849479675},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.23773333430290222},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18885385990142822}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.7372486591339111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6946972012519836},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6121561527252197},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5281914472579956},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5260346531867981},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5070028305053711},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.503142774105072},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44946885108947754},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4266738295555115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41746559739112854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41462454199790955},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41432806849479675},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.23773333430290222},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18885385990142822},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2012.6288879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1483365869","https://openalex.org/W2109427640","https://openalex.org/W2113911479","https://openalex.org/W2146324387","https://openalex.org/W2151484683","https://openalex.org/W2155998647","https://openalex.org/W2157590573","https://openalex.org/W2169147844","https://openalex.org/W2396342632","https://openalex.org/W6711764590"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W2909957174","https://openalex.org/W4246278799","https://openalex.org/W136674370","https://openalex.org/W2105527480","https://openalex.org/W2052387497","https://openalex.org/W2050203848","https://openalex.org/W2050191802"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,41],"noise":[4,67],"tracking":[5],"and":[6,62,88,102],"estimation":[7],"algorithm":[8,38,52,76],"for":[9,93,104],"highly":[10],"non-stationary":[11,66],"noises":[12,107],"using":[13,114],"the":[14,25,58,65,71,115,131],"Bayesian":[15],"on-line":[16,109],"spectral":[17,44],"change":[18,45],"point":[19,46],"detection":[20],"(BOSCPD)":[21],"technique.":[22,134],"In":[23],"BOSCPD,":[24],"local":[26],"minima":[27,33],"search":[28],"window":[29],"update":[30,64],"technique":[31],"of":[32,43,50,85],"controlled":[34],"recursive":[35],"averaging":[36],"(MCRA)":[37],"is":[39,53,97],"made":[40],"function":[42],"detection.":[47],"The":[48,74,120],"novelty":[49],"this":[51],"that":[54],"it":[55],"can":[56],"detect":[57],"rapid":[59],"changes":[60],"instantly":[61],"quickly":[63],"estimate":[68],"compared":[69,129],"to":[70,100,130],"MCRA-based":[72],"algorithms.":[73],"BOSCPD":[75],"shows":[77],"improvement":[78,125],"in":[79,83,108,126],"objective":[80],"quality":[81],"measures":[82],"terms":[84],"higher":[86],"SNR":[87],"lower":[89],"output":[90],"distortion":[91],"scores":[92],"speech":[94,111,118],"enhancement.":[95],"It":[96],"also":[98],"tested":[99],"track":[101],"compensate":[103],"rapidly":[105],"varying":[106],"automatic":[110],"recognition":[112,127],"(ASR)":[113],"Aurora":[116],"2":[117],"database.":[119],"simulation":[121],"results":[122],"show":[123],"significant":[124],"accuracy":[128],"baseline":[132],"MCRA":[133]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}