{"id":"https://openalex.org/W2115283881","doi":"https://doi.org/10.1109/icassp.2008.4517540","title":"Evaluation of several strategies for single sensor speech/music separation","display_name":"Evaluation of several strategies for single sensor speech/music separation","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2115283881","doi":"https://doi.org/10.1109/icassp.2008.4517540","mag":"2115283881"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2008.4517540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4517540","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5024072442","display_name":"Rapha\u00ebl Blouet","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raphael Blouet","raw_affiliation_strings":["MIST Technologies Research, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIST Technologies Research, Paris, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097120220","display_name":"Guy Rapaport","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Guy Rapaport","raw_affiliation_strings":["Dept of Electrical Engineering, Technion City, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of Electrical Engineering, Technion City, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080194185","display_name":"Israel Cohen","orcid":"https://orcid.org/0000-0002-2556-3972"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Israel Cohen","raw_affiliation_strings":["Dept of Electrical Engineering, Technion City, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of Electrical Engineering, Technion City, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022368934","display_name":"C\u00e9dric F\u00e9votte","orcid":"https://orcid.org/0000-0003-3801-5534"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cedric Fevotte","raw_affiliation_strings":["CNRS-TELECOM ParisTech, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS-TELECOM ParisTech, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7972,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95038925,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"40"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9991999864578247,"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":0.9979000091552734,"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/codebook","display_name":"Codebook","score":0.9687637090682983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6876482367515564},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6691451072692871},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6483491659164429},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.6339214444160461},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.500462532043457},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4987924098968506},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.48048487305641174},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.42306435108184814},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.42112329602241516},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.420958012342453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39193540811538696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3476139307022095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20026379823684692},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17874187231063843},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06891745328903198}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9687637090682983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6876482367515564},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6691451072692871},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6483491659164429},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.6339214444160461},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.500462532043457},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4987924098968506},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.48048487305641174},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.42306435108184814},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.42112329602241516},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.420958012342453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39193540811538696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3476139307022095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20026379823684692},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17874187231063843},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06891745328903198},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2008.4517540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4517540","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.323.8620","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.323.8620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://perso.telecom-paristech.fr/~fevotte/Proceedings/icassp08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W186036538","https://openalex.org/W1809677286","https://openalex.org/W1852245783","https://openalex.org/W2025515167","https://openalex.org/W2049633694","https://openalex.org/W2097191389","https://openalex.org/W2117042571","https://openalex.org/W2134807719","https://openalex.org/W2151925712","https://openalex.org/W2157885315","https://openalex.org/W2168793898","https://openalex.org/W6607619696","https://openalex.org/W6639044712","https://openalex.org/W6682270474","https://openalex.org/W6684458083"],"related_works":["https://openalex.org/W2014919663","https://openalex.org/W2171564668","https://openalex.org/W2110375858","https://openalex.org/W2365863649","https://openalex.org/W2367622526","https://openalex.org/W2372081722","https://openalex.org/W2377001183","https://openalex.org/W2369158369","https://openalex.org/W2381098171","https://openalex.org/W4252671892"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"address":[4],"the":[5,43,46,79,93,97,104,110,114],"application":[6],"of":[7,15,48,113],"single":[8],"sensor":[9],"source":[10,22],"separation":[11,119],"techniques":[12],"to":[13,42,55,61,88],"mixtures":[14],"speech":[16,80,85],"and":[17,35,60,66,81],"music.":[18],"Three":[19],"strategies":[20],"for":[21,78,117],"modeling":[23],"are":[24],"presented,":[25],"namely":[26],"Gaussian":[27],"scaled":[28],"mixture":[29],"models":[30,34,77],"(GSMM),":[31],"autoregressive":[32],"(AR)":[33],"amplitude":[36,67],"factor":[37],"(AF).":[38],"The":[39,84],"common":[40],"ingredient":[41],"methods":[44],"is":[45,100],"use":[47],"a":[49,71],"codebook":[50],"containing":[51],"elementary":[52],"spectral":[53,64],"shapes":[54],"represent":[56],"non-":[57],"stationary":[58],"signals,":[59],"handle":[62],"separately":[63],"shape":[65],"information.":[68],"We":[69],"propose":[70],"new":[72],"system":[73],"that":[74],"employs":[75],"separate":[76],"music":[82,98],"signals.":[83],"signal":[86,99],"proves":[87],"be":[89],"best":[90,101],"modeled":[91,102],"with":[92,103],"AR-based":[94],"codebook,":[95],"while":[96],"AF-based":[105],"codebook.":[106],"Experimental":[107],"results":[108],"demonstrate":[109],"improved":[111],"performance":[112],"proposed":[115],"approach":[116],"speech/music":[118],"in":[120],"some":[121],"evaluation":[122],"criteria.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}