{"id":"https://openalex.org/W2012061403","doi":"https://doi.org/10.1109/taslp.2015.2464691","title":"Morphologically Filtered Power-Normalized Cochleograms as Robust, Biologically Inspired Features for ASR","display_name":"Morphologically Filtered Power-Normalized Cochleograms as Robust, Biologically Inspired Features for ASR","publication_year":2015,"publication_date":"2015-08-12","ids":{"openalex":"https://openalex.org/W2012061403","doi":"https://doi.org/10.1109/taslp.2015.2464691","mag":"2012061403"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2015.2464691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2015.2464691","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://e-archivo.uc3m.es/bitstreams/3db03fed-6d21-4c45-acee-509e9d394b18/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027381338","display_name":"F. de-la-Calle-Silos","orcid":null},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fernando de-la-Calle-Silos","raw_affiliation_strings":["Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s (Madrid), Spain","Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s (Madrid), Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078741231","display_name":"Francisco J. Valverde-Albacete","orcid":"https://orcid.org/0000-0002-5874-7604"},"institutions":[{"id":"https://openalex.org/I178450904","display_name":"Universidad Nacional de Educaci\u00f3n a Distancia","ror":"https://ror.org/02msb5n36","country_code":"ES","type":"education","lineage":["https://openalex.org/I178450904"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francisco J. Valverde-Albacete","raw_affiliation_strings":["Departamento de Leguajes y Sistemas Informticos, Universidad Nacional de Educaci\u00f3n a Distancia, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Leguajes y Sistemas Informticos, Universidad Nacional de Educaci\u00f3n a Distancia, Madrid, Spain","institution_ids":["https://openalex.org/I178450904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065719579","display_name":"Ascensi\u00f3n Gallardo-Antol\u00edn","orcid":"https://orcid.org/0000-0002-9322-3128"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ascension Gallardo-Antolin","raw_affiliation_strings":["Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s (Madrid), Spain","Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s (Madrid), Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090068120","display_name":"Carmen Pel\u00e1ez-Moreno","orcid":"https://orcid.org/0000-0003-1425-6763"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carmen Pelaez-Moreno","raw_affiliation_strings":["Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s (Madrid), Spain","Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s (Madrid), Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8699,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7411007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":"11","first_page":"2070","last_page":"2080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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":0.9990000128746033,"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":0.998199999332428,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.6706467866897583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.657477855682373},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.6420380473136902},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6248020529747009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.617743730545044},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5579198598861694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5175463557243347},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4892232418060303},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.4812324047088623},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44577905535697937},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4288618862628937},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07832688093185425}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6706467866897583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.657477855682373},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6420380473136902},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6248020529747009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.617743730545044},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5579198598861694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5175463557243347},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4892232418060303},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.4812324047088623},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44577905535697937},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4288618862628937},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07832688093185425},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taslp.2015.2464691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2015.2464691","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},{"id":"pmh:oai:e-archivo.uc3m.es:10016/21710","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/21710","pdf_url":"https://e-archivo.uc3m.es/bitstreams/3db03fed-6d21-4c45-acee-509e9d394b18/download","source":{"id":"https://openalex.org/S4306400817","display_name":"e-Archivo (Carlos III University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I50357001","host_organization_name":"Universidad Carlos III de Madrid","host_organization_lineage":["https://openalex.org/I50357001"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:e-archivo.uc3m.es:10016/21710","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/21710","pdf_url":"https://e-archivo.uc3m.es/bitstreams/3db03fed-6d21-4c45-acee-509e9d394b18/download","source":{"id":"https://openalex.org/S4306400817","display_name":"e-Archivo (Carlos III University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I50357001","host_organization_name":"Universidad Carlos III de Madrid","host_organization_lineage":["https://openalex.org/I50357001"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320336228","display_name":"Airbus Defense and Space","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2012061403.pdf","grobid_xml":"https://content.openalex.org/works/W2012061403.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W48303286","https://openalex.org/W105804906","https://openalex.org/W1480485976","https://openalex.org/W1489184006","https://openalex.org/W1505353324","https://openalex.org/W1594921063","https://openalex.org/W1901507278","https://openalex.org/W1946152311","https://openalex.org/W1970606596","https://openalex.org/W1971910041","https://openalex.org/W1982109178","https://openalex.org/W1990938546","https://openalex.org/W1992468098","https://openalex.org/W1999854131","https://openalex.org/W2005518249","https://openalex.org/W2008806652","https://openalex.org/W2024490156","https://openalex.org/W2024880041","https://openalex.org/W2027890689","https://openalex.org/W2042732685","https://openalex.org/W2043843997","https://openalex.org/W2050758723","https://openalex.org/W2051493438","https://openalex.org/W2062340927","https://openalex.org/W2063656732","https://openalex.org/W2079915342","https://openalex.org/W2093514216","https://openalex.org/W2102873604","https://openalex.org/W2103869314","https://openalex.org/W2111714711","https://openalex.org/W2114719288","https://openalex.org/W2115331917","https://openalex.org/W2121973264","https://openalex.org/W2126048084","https://openalex.org/W2126958229","https://openalex.org/W2137041883","https://openalex.org/W2137075158","https://openalex.org/W2142193238","https://openalex.org/W2145864119","https://openalex.org/W2147326633","https://openalex.org/W2148037787","https://openalex.org/W2148154194","https://openalex.org/W2149535104","https://openalex.org/W2151484683","https://openalex.org/W2153894152","https://openalex.org/W2158483598","https://openalex.org/W2295355370","https://openalex.org/W2400523955","https://openalex.org/W2402370305","https://openalex.org/W2404548287","https://openalex.org/W3147539069","https://openalex.org/W4234947109","https://openalex.org/W4247807440","https://openalex.org/W6682194319","https://openalex.org/W6712676018","https://openalex.org/W6713630192","https://openalex.org/W6992928282"],"related_works":["https://openalex.org/W2902887112","https://openalex.org/W2606551632","https://openalex.org/W4317383455","https://openalex.org/W2548511587","https://openalex.org/W4293232884","https://openalex.org/W2422472940","https://openalex.org/W1996690921","https://openalex.org/W2019475500","https://openalex.org/W2548162870","https://openalex.org/W2144773493"],"abstract_inverted_index":{"In":[0,194],"this":[1,71],"paper,":[2],"we":[3],"present":[4,82],"advances":[5],"in":[6,28,80,94,106,138,222],"the":[7,10,14,21,24,74,81,101,107,118,121,129,132,136,148,154,196,223],"modeling":[8],"of":[9,13,23,42,70,112,131,135,153],"masking":[11,102,133],"behavior":[12],"human":[15],"auditory":[16],"system":[17],"(HAS)":[18],"to":[19,48,117,206,210,215,220],"enhance":[20],"robustness":[22],"feature":[25],"extraction":[26],"stage":[27],"automatic":[29],"speech":[30],"recognition":[31],"(ASR).":[32],"The":[33,142],"solution":[34],"adopted":[35],"is":[36,73,84],"based":[37],"on":[38,171],"a":[39,43,87,96,162],"nonlinear":[40],"filtering":[41],"spectro-temporal":[44,113],"representation":[45,114,149],"applied":[46],"simultaneously":[47],"both":[49,181],"frequency":[50,123],"and":[51,125,177,187,202,217],"time":[52],"domains":[53],"-":[54,61],"as":[55,86,151],"if":[56],"it":[57],"were":[58,145],"an":[59],"image":[60],"using":[62,91],"mathematical":[63],"morphology":[64],"operations.":[65],"A":[66,109],"particularly":[67],"important":[68],"component":[69],"architecture":[72],"so-called":[75],"structuring":[76],"element":[77],"(SE)":[78],"that":[79,98],"contribution":[83],"designed":[85],"single":[88],"three-dimensional":[89],"pattern":[90],"physiological":[92],"facts,":[93],"such":[95],"way":[97],"closely":[99],"resembles":[100],"phenomena":[103],"taking":[104],"place":[105],"cochlea.":[108],"proper":[110],"choice":[111],"lends":[115],"validity":[116],"model":[119,185],"throughout":[120],"whole":[122],"spectrum":[124],"intensity":[126],"spans":[127],"assuming":[128],"variability":[130],"properties":[134],"HAS":[137],"these":[139],"two":[140],"domains.":[141],"best":[143],"results":[144],"achieved":[146],"with":[147,161],"introduced":[150],"part":[152],"power":[155],"normalized":[156],"cepstral":[157],"coefficients":[158],"(PNCC)":[159],"together":[160],"spectral":[163],"subtraction":[164],"step.":[165],"This":[166],"method":[167],"has":[168],"been":[169],"tested":[170],"Aurora":[172,224],"2,":[173],"Wall":[174],"Street":[175],"Journal":[176],"ISOLET":[178],"databases":[179],"including":[180],"classical":[182],"hidden":[183],"Markov":[184],"(HMM)":[186],"hybrid":[188],"artificial":[189],"neural":[190],"networks":[191],"(ANN)-HMM":[192],"back-ends.":[193],"these,":[195],"proposed":[197],"front-end":[198],"analysis":[199],"provides":[200],"substantial":[201],"significant":[203],"improvements":[204],"compared":[205,214,219],"baseline":[207],"techniques:":[208],"up":[209],"39.5%":[211],"relative":[212],"improvement":[213],"MFCC,":[216],"18.7%":[218],"PNCC":[221],"2":[225],"database.":[226]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
