{"id":"https://openalex.org/W2111880697","doi":"https://doi.org/10.21437/eurospeech.2003-407","title":"A new perspective on feature extraction for robust in-vehicle speech recognition","display_name":"A new perspective on feature extraction for robust in-vehicle speech recognition","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W2111880697","doi":"https://doi.org/10.21437/eurospeech.2003-407","mag":"2111880697"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2003-407","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","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/A5084965575","display_name":"Umit Yapanel","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Umit H. Yapanel","raw_affiliation_strings":["University of Colorado \u2010 Boulder"],"affiliations":[{"raw_affiliation_string":"University of Colorado \u2010 Boulder","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057910370","display_name":"John H. L. Hansen","orcid":"https://orcid.org/0000-0003-1382-9929"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John H.L. Hansen","raw_affiliation_strings":["University of Colorado \u2010 Boulder"],"affiliations":[{"raw_affiliation_string":"University of Colorado \u2010 Boulder","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084965575"],"corresponding_institution_ids":["https://openalex.org/I188538660"],"apc_list":null,"apc_paid":null,"fwci":5.6296,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.96881477,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/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"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7232848405838013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6837045550346375},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6696618795394897},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5780390501022339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4360450506210327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4358534514904022},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4186899662017822}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7232848405838013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837045550346375},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6696618795394897},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5780390501022339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4360450506210327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4358534514904022},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4186899662017822}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/eurospeech.2003-407","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.134.5395","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.5395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cslr.colorado.edu/beginweb/publications/conference/yapanel-eurospeech-2003.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"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":19,"referenced_works":["https://openalex.org/W183860","https://openalex.org/W111896636","https://openalex.org/W1492221128","https://openalex.org/W1766888123","https://openalex.org/W1951896508","https://openalex.org/W1966264494","https://openalex.org/W2051195460","https://openalex.org/W2090861223","https://openalex.org/W2096503735","https://openalex.org/W2115675554","https://openalex.org/W2125598782","https://openalex.org/W2132384545","https://openalex.org/W2135934764","https://openalex.org/W2144600569","https://openalex.org/W2148154194","https://openalex.org/W2149443497","https://openalex.org/W2296704011","https://openalex.org/W3017143921","https://openalex.org/W3022906761"],"related_works":["https://openalex.org/W2811390910","https://openalex.org/W2131735617","https://openalex.org/W2146076056","https://openalex.org/W2144059113","https://openalex.org/W3003836766","https://openalex.org/W2126100045","https://openalex.org/W2136054869","https://openalex.org/W1964120219","https://openalex.org/W2000165426","https://openalex.org/W2385132419"],"abstract_inverted_index":{"The":[0,28,64,90,126],"problem":[1],"of":[2,25,47,88],"reliable":[3],"speech":[4,49,141],"recognition":[5,120],"for":[6,42],"in-vehicle":[7],"applications":[8],"has":[9],"recently":[10,113],"emerged":[11],"as":[12,74],"a":[13,75,139],"challenging":[14],"research":[15],"domain.":[16],"This":[17],"study":[18],"focuses":[19],"on":[20,32,116,148],"the":[21,45,48,70,84,105],"feature":[22,66,128],"extraction":[23],"stage":[24],"this":[26],"problem.":[27],"approach":[29,130],"is":[30,40,95,131],"based":[31],"MinimumVariance":[33],"Distortionless":[34],"Response":[35],"(MVDR)":[36],"spectrum":[37,87],"estimation.":[38],"MVDR":[39],"used":[41],"robustly":[43],"estimating":[44],"envelope":[46],"signal":[50],"and":[51,57,107,134],"shown":[52,96,136],"to":[53,61,97,104,112,137],"be":[54,138],"very":[55],"accurate":[56],"relatively":[58],"less":[59],"sensitive":[60],"additive":[62],"noise.":[63,151],"proposed":[65,114,127],"estimation":[67,129],"process":[68],"removes":[69],"traditional":[71],"Mel-scaled":[72],"filterbank":[73],"perceptually":[76],"motivated":[77],"frequency":[78],"partitioning.":[79],"Instead,":[80],"we":[81],"directly":[82],"warp":[83],"FFT":[85],"power":[86],"speech.":[89],"word":[91],"error":[92],"rate":[93],"(WER)":[94],"decrease":[98],"by":[99],"27.3":[100],"%":[101,109],"with":[102,110,146],"respect":[103,111],"MFCCs":[106],"18.8":[108],"PMCCs":[115],"an":[117],"extended":[118],"digit":[119],"task":[121],"in":[122,143],"real":[123,144],"car":[124,150],"environments.":[125],"called":[132],"PMVDR":[133],"conclusively":[135],"better":[140],"representation":[142],"environments":[145],"emphasis":[147],"time-varying":[149],"1.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}