{"id":"https://openalex.org/W3015880441","doi":"https://doi.org/10.1109/icassp40776.2020.9053537","title":"Speech Intelligibility Enhancement by Equalization for in-Car Applications","display_name":"Speech Intelligibility Enhancement by Equalization for in-Car Applications","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015880441","doi":"https://doi.org/10.1109/icassp40776.2020.9053537","mag":"3015880441"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 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/A5021835215","display_name":"Enguerrand Gentet","orcid":null},"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/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Enguerrand Gentet","raw_affiliation_strings":["Institut Polytechnique de Paris, LTCI, T\u00e9l\u00e9com Paris, France","Laboratoire Traitement et Communication de l'Information"],"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris, LTCI, T\u00e9l\u00e9com Paris, France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I12356871"]},{"raw_affiliation_string":"Laboratoire Traitement et Communication de l'Information","institution_ids":["https://openalex.org/I4210165912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010434831","display_name":"Bertrand David","orcid":"https://orcid.org/0000-0002-5520-8613"},"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/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bertrand David","raw_affiliation_strings":["Institut Polytechnique de Paris, LTCI, T\u00e9l\u00e9com Paris, France","Situated Interaction, Collaboration, Adaptation and Learning"],"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris, LTCI, T\u00e9l\u00e9com Paris, France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I12356871"]},{"raw_affiliation_string":"Situated Interaction, Collaboration, Adaptation and Learning","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085282712","display_name":"S\u00e9bastien Denjean","orcid":"https://orcid.org/0000-0002-1476-949X"},"institutions":[{"id":"https://openalex.org/I268709337","display_name":"PSA Peugeot Citro\u00ebn (France)","ror":"https://ror.org/04zgvy449","country_code":"FR","type":"company","lineage":["https://openalex.org/I268709337"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sebastien Denjean","raw_affiliation_strings":["Chemin de Gisy, Groupe PSA, France","PSA Peugeot Citro\u00ebn"],"affiliations":[{"raw_affiliation_string":"Chemin de Gisy, Groupe PSA, France","institution_ids":["https://openalex.org/I268709337"]},{"raw_affiliation_string":"PSA Peugeot Citro\u00ebn","institution_ids":["https://openalex.org/I268709337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055423112","display_name":"Ga\u00ebl Richard","orcid":"https://orcid.org/0000-0002-4960-0010"},"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/I2802330208","display_name":"Statistics Belgium","ror":"https://ror.org/0246a9012","country_code":"BE","type":"government","lineage":["https://openalex.org/I2802330208","https://openalex.org/I4210095879"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["BE","FR"],"is_corresponding":false,"raw_author_name":"Gael Richard","raw_affiliation_strings":["Institut Polytechnique de Paris, LTCI, T\u00e9l\u00e9com Paris, France","D\u00e9partement Images, Donn\u00e9es, Signal","Signal, Statistique et Apprentissage"],"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris, LTCI, T\u00e9l\u00e9com Paris, France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I12356871"]},{"raw_affiliation_string":"D\u00e9partement Images, Donn\u00e9es, Signal","institution_ids":[]},{"raw_affiliation_string":"Signal, Statistique et Apprentissage","institution_ids":["https://openalex.org/I2802330208"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030975522","display_name":"Vincent Roussarie","orcid":null},"institutions":[{"id":"https://openalex.org/I268709337","display_name":"PSA Peugeot Citro\u00ebn (France)","ror":"https://ror.org/04zgvy449","country_code":"FR","type":"company","lineage":["https://openalex.org/I268709337"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Roussarie","raw_affiliation_strings":["Chemin de Gisy, Groupe PSA, France","Equipe Perception et cognition musicales"],"affiliations":[{"raw_affiliation_string":"Chemin de Gisy, Groupe PSA, France","institution_ids":["https://openalex.org/I268709337"]},{"raw_affiliation_string":"Equipe Perception et cognition musicales","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021835215"],"corresponding_institution_ids":["https://openalex.org/I12356871","https://openalex.org/I4210165912"],"apc_list":null,"apc_paid":null,"fwci":0.7618,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69971208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6934","last_page":"6938"},"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T12759","display_name":"Vehicle Noise and Vibration Control","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/intelligibility","display_name":"Intelligibility (philosophy)","score":0.7456724643707275},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.7014660835266113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6549604535102844},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5858517289161682},{"id":"https://openalex.org/keywords/loudness","display_name":"Loudness","score":0.4204515814781189},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3967643976211548},{"id":"https://openalex.org/keywords/background-noise","display_name":"Background noise","score":0.31676027178764343},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11045154929161072},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09785881638526917}],"concepts":[{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.7456724643707275},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.7014660835266113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6549604535102844},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5858517289161682},{"id":"https://openalex.org/C79018884","wikidata":"https://www.wikidata.org/wiki/Q622324","display_name":"Loudness","level":2,"score":0.4204515814781189},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3967643976211548},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.31676027178764343},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11045154929161072},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09785881638526917},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02713178v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-02713178","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, France. pp.6934-6938, &#x27E8;10.1109/ICASSP40776.2020.9053537&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W65497148","https://openalex.org/W133186540","https://openalex.org/W225580787","https://openalex.org/W1594094808","https://openalex.org/W1878540380","https://openalex.org/W1949271984","https://openalex.org/W1985226152","https://openalex.org/W2010110013","https://openalex.org/W2026024822","https://openalex.org/W2026285232","https://openalex.org/W2041941868","https://openalex.org/W2047068213","https://openalex.org/W2098930980","https://openalex.org/W2103397742","https://openalex.org/W2118402343","https://openalex.org/W2128631678","https://openalex.org/W2129387557","https://openalex.org/W2135512340","https://openalex.org/W2141998673","https://openalex.org/W2152708632","https://openalex.org/W2404548911","https://openalex.org/W2611963065","https://openalex.org/W4234195863","https://openalex.org/W6635731088","https://openalex.org/W6661715057","https://openalex.org/W6680107410","https://openalex.org/W6816466128"],"related_works":["https://openalex.org/W1986772939","https://openalex.org/W2037635165","https://openalex.org/W2738829087","https://openalex.org/W2127461790","https://openalex.org/W2069324367","https://openalex.org/W2542062716","https://openalex.org/W1505346162","https://openalex.org/W4200562864","https://openalex.org/W3096184950","https://openalex.org/W4231424160"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,75,90,139],"speech":[6,19],"intelligibility":[7,37],"enhancement":[8,20],"method":[9,51],"for":[10,119],"typical":[11,103],"in-car":[12,104],"applications":[13],"in":[14,53,97],"noisy":[15],"environments.":[16],"While":[17],"traditional":[18],"algorithms":[21],"aim":[22],"at":[23],"increasing":[24],"the":[25,31,46,59,66,72,82,95,114,117,131,134],"Signal":[26],"to":[27,35,64,124],"Noise":[28,98],"Ratio":[29],"(SNR),":[30],"goal":[32],"here":[33],"is":[34,84],"increase":[36],"by":[38,87,145],"applying":[39],"dedicated":[40],"voice":[41],"transformation":[42],"techniques":[43],"without":[44],"changing":[45],"original":[47],"SNR.":[48],"The":[49,79,110],"proposed":[50],"consists":[52],"an":[54],"adaptive":[55],"equalizer":[56],"which":[57],"reallocates":[58],"energy":[60],"of":[61,74,81,89,106,116,133],"frequency":[62],"bands":[63],"maximize":[65],"Speech":[67],"Intelligibility":[68],"Index":[69],"(SII)":[70],"under":[71],"constraint":[73],"fixed":[76],"perceived":[77],"loudness.":[78],"validation":[80],"algorithm":[83,118,135],"carried":[85],"out":[86,143],"means":[88],"perceptual":[91],"test":[92],"derived":[93],"from":[94],"Hearing":[96],"Test":[99],"(HINT)":[100],"using":[101],"four":[102],"noises":[105,137],"different":[107],"driving":[108,126],"conditions.":[109],"results":[111],"obtained":[112],"demonstrate":[113],"merit":[115],"low-frequency":[120],"noises,":[121],"that":[122],"correspond":[123],"usual":[125],"conditions,":[127],"but":[128],"also":[129],"show":[130],"limit":[132],"on":[136],"with":[138],"spectrum":[140],"more":[141],"spread":[142],"induced":[144],"rain.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
