{"id":"https://openalex.org/W2123949117","doi":"https://doi.org/10.1109/icassp.2004.1325957","title":"Robustness of speech recognition using genetic algorithms and a Mel-cepstral subspace approach","display_name":"Robustness of speech recognition using genetic algorithms and a Mel-cepstral subspace approach","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2123949117","doi":"https://doi.org/10.1109/icassp.2004.1325957","mag":"2123949117"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1325957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1325957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","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/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":true,"raw_author_name":"S.A. Selouani","raw_affiliation_strings":["Universit\u00e9 de Moncton, Canada","Univ. de Moncton, Campus De Shippagan, Canada"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Moncton, Canada","institution_ids":["https://openalex.org/I154799132"]},{"raw_affiliation_string":"Univ. de Moncton, Campus De Shippagan, 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"]},{"id":"https://openalex.org/I49663120","display_name":"Universit\u00e9 du Qu\u00e9bec","ror":"https://ror.org/010gxg263","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"D. O'Shaughnessy","raw_affiliation_strings":["INRS-EMT, Montreal, Canada","Univ. of Qu\u00e9bec"],"affiliations":[{"raw_affiliation_string":"INRS-EMT, Montreal, Canada","institution_ids":["https://openalex.org/I39481719"]},{"raw_affiliation_string":"Univ. of Qu\u00e9bec","institution_ids":["https://openalex.org/I49663120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055849526"],"corresponding_institution_ids":["https://openalex.org/I154799132"],"apc_list":null,"apc_paid":null,"fwci":1.1217,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78772516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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":0.9997000098228455,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/bigram","display_name":"Bigram","score":0.8238017559051514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7743610143661499},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7643675804138184},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7597596645355225},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.7470130324363708},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7009201645851135},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.6383970975875854},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.614898145198822},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5141544938087463},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5108539462089539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.501340389251709},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.452651709318161},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3040338158607483},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.128170907497406}],"concepts":[{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.8238017559051514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7743610143661499},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7643675804138184},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7597596645355225},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7470130324363708},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7009201645851135},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.6383970975875854},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.614898145198822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5141544938087463},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5108539462089539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.501340389251709},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.452651709318161},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3040338158607483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.128170907497406},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2004.1325957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1325957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W333923259","https://openalex.org/W1562251502","https://openalex.org/W2096779346","https://openalex.org/W2133856945","https://openalex.org/W4285719527","https://openalex.org/W4301173492","https://openalex.org/W6611436762"],"related_works":["https://openalex.org/W45551173","https://openalex.org/W3105803047","https://openalex.org/W2076289298","https://openalex.org/W1516974462","https://openalex.org/W1976669651","https://openalex.org/W2024906359","https://openalex.org/W2078573383","https://openalex.org/W2020048803","https://openalex.org/W1975685855","https://openalex.org/W2214410993","https://openalex.org/W2160030256","https://openalex.org/W2572576546","https://openalex.org/W2529843462","https://openalex.org/W2538359906","https://openalex.org/W2548432024","https://openalex.org/W2097466168","https://openalex.org/W2964347950","https://openalex.org/W2381775108","https://openalex.org/W2067172208","https://openalex.org/W1535103484"],"abstract_inverted_index":{"The":[0,21,39],"paper":[1],"presents":[2],"a":[3,12,48,60,88],"method":[4,65],"to":[5,68],"compensate":[6],"Mel-frequency":[7],"cepstral":[8],"coefficients":[9],"(MFCCs)":[10],"for":[11],"HMM-based":[13],"speech":[14,72],"recognition":[15,75],"system":[16],"evolving":[17],"under":[18],"telephone-channel":[19],"degradations.":[20],"technique":[22],"we":[23],"propose":[24],"is":[25,66],"based":[26],"on":[27,78],"the":[28,31,44,52,64,69,79],"combination":[29],"of":[30,42],"Karhonen-Loeve":[32],"transform":[33],"(KLT)":[34],"and":[35,87,94],"genetic":[36],"algorithms":[37],"(GA).":[38],"idea":[40],"consists":[41],"projecting":[43],"band-limited":[45],"MFCCs":[46],"onto":[47],"subspace":[49],"generated":[50],"by":[51],"genetically":[53],"optimized":[54],"KLT":[55],"principal":[56],"axes.":[57],"Experiments":[58],"show":[59],"clear":[61],"improvement":[62],"when":[63],"applied":[67],"NTIMIT":[70],"telephone":[71],"database.":[73],"Word":[74],"results":[76],"obtained":[77],"HTK":[80],"toolkit":[81],"platform":[82],"using":[83],"N-mixture":[84],"triphone":[85],"models":[86],"bigram":[89],"language":[90],"model":[91],"are":[92],"presented":[93],"discussed.":[95]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
