{"id":"https://openalex.org/W137377252","doi":"https://doi.org/10.21437/eurospeech.2003-143","title":"Improved feature extraction based on spectral noise reduction and nonlinear feature normalization","display_name":"Improved feature extraction based on spectral noise reduction and nonlinear feature normalization","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W137377252","doi":"https://doi.org/10.21437/eurospeech.2003-143","mag":"137377252"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2003-143","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-143","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":"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/A5000645757","display_name":"Jos\u00e9 C. Segura","orcid":"https://orcid.org/0000-0003-3746-0978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose C. Segura","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067023995","display_name":"Javier Ram\u0131\u0301rez","orcid":"https://orcid.org/0000-0002-6229-2921"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javier Ramirez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032065113","display_name":"Carmen Ben\u0131\u0301tez","orcid":"https://orcid.org/0000-0002-5407-8335"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carmen Benitez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014325055","display_name":"\u00c1ngel de la Torre","orcid":"https://orcid.org/0000-0002-9736-5190"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Angel de la Torre","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103257592","display_name":"Antonio J. Rubio","orcid":"https://orcid.org/0000-0003-3814-0335"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio J. Rubio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"353","last_page":"356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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":0.9995999932289124,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9968000054359436,"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/normalization","display_name":"Normalization (sociology)","score":0.8141079545021057},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6577432155609131},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6306747198104858},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.6074955463409424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5740641355514526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5429200530052185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5423314571380615},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5181109309196472},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5072876811027527},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4694508910179138},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.43451425433158875},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.4238690435886383},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3986896872520447},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3225468397140503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3140242397785187},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1383766233921051},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.06690934300422668}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8141079545021057},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6577432155609131},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6306747198104858},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.6074955463409424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5740641355514526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5429200530052185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5423314571380615},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5181109309196472},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5072876811027527},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4694508910179138},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43451425433158875},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.4238690435886383},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3986896872520447},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3225468397140503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3140242397785187},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1383766233921051},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.06690934300422668},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.2003-143","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-143","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1992012199","https://openalex.org/W2103553098","https://openalex.org/W2112785937","https://openalex.org/W2128391065","https://openalex.org/W2397634864","https://openalex.org/W2403203479"],"related_works":["https://openalex.org/W2966246521","https://openalex.org/W2254945790","https://openalex.org/W3108403339","https://openalex.org/W2162712524","https://openalex.org/W2098233558","https://openalex.org/W4287867034","https://openalex.org/W2175872006","https://openalex.org/W3005783148","https://openalex.org/W3021143552","https://openalex.org/W2004821155"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,60,130],"mainly":[3],"focused":[4],"on":[5,63,76],"showing":[6],"experimental":[7],"results":[8],"of":[9,25,51,68,92,128],"a":[10,32,46,64,84,125],"feature":[11,21],"extraction":[12],"algorithm":[13],"that":[14,43,50],"combines":[15],"spectral":[16,69,88],"noise":[17],"reduction":[18,59],"and":[19,35,94,105],"nonlinear":[20],"normalization.":[22],"The":[23,71],"successfulness":[24],"this":[26,37],"approach":[27],"has":[28,80],"been":[29,81],"shown":[30],"in":[31,36,45],"previous":[33,98],"work,":[34],"one,":[38],"we":[39],"present":[40],"several":[41],"improvements":[42,91],"result":[44],"performance":[47],"comparable":[48],"to":[49],"the":[52,77,119],"recently":[53],"approved":[54],"AFE":[55],"for":[56,102,109,118,122],"DSR.":[57],"Noise":[58],"now":[61],"based":[62,75],"Wiener":[65],"filter":[66],"instead":[67],"subtraction.":[70],"voice":[72],"activity":[73],"detection":[74],"full-band":[78],"energy":[79],"replaced":[82],"with":[83],"new":[85],"one":[86],"using":[87],"information.":[89],"Relative":[90],"24.81%":[93],"17.50%":[95],"over":[96],"our":[97],"system":[99],"are":[100,112],"obtained":[101],"AURORA":[103,110,123],"2":[104,111],"3":[106,124],"respectively.":[107],"Results":[108],"not":[113],"as":[114,116],"good":[115],"those":[117],"AFE,":[120],"but":[121],"relative":[126],"improvement":[127],"5.27%":[129],"obtained.":[131]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
