{"id":"https://openalex.org/W156951267","doi":"https://doi.org/10.21437/interspeech.2006-124","title":"Normalization of the inter-frame information using smoothing filtering","display_name":"Normalization of the inter-frame information using smoothing filtering","publication_year":2006,"publication_date":"2006-09-17","ids":{"openalex":"https://openalex.org/W156951267","doi":"https://doi.org/10.21437/interspeech.2006-124","mag":"156951267"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2006-124","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","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/A5013746163","display_name":"Luz Garc\u00eda","orcid":"https://orcid.org/0000-0001-5904-5412"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. Garc\u00eda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","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":"Jos\u00e9 C. Segura","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 Ben\u00edtez","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 Ram\u00edrez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","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":"\u00c1ngel de la Torre","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8651,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86566957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"paper 1687","last_page":"Mon2BuP.7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991000294685364,"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/T10860","display_name":"Speech and Audio Processing","score":0.9986000061035156,"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":0.9922999739646912,"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":0.8494929075241089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7749624848365784},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6191744804382324},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.57319176197052},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5487351417541504},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5132808685302734},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.50826495885849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5038740038871765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5032400488853455},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4769931435585022},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.460682213306427},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4160003662109375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3165239691734314},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2149386703968048},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1504351794719696},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0682227611541748}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8494929075241089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7749624848365784},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6191744804382324},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.57319176197052},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5487351417541504},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5132808685302734},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.50826495885849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5038740038871765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5032400488853455},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4769931435585022},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.460682213306427},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4160003662109375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3165239691734314},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2149386703968048},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1504351794719696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0682227611541748},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2006-124","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W114847577","https://openalex.org/W144317751","https://openalex.org/W154677192","https://openalex.org/W315804352","https://openalex.org/W1992012199","https://openalex.org/W2101820141","https://openalex.org/W2108134265","https://openalex.org/W2171000037"],"related_works":["https://openalex.org/W4252379076","https://openalex.org/W2018086531","https://openalex.org/W2939490483","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W2373675101","https://openalex.org/W4385672897","https://openalex.org/W106160982","https://openalex.org/W2359140082","https://openalex.org/W2074132948"],"abstract_inverted_index":{"A":[0],"filter":[1,17,63],"that":[2,57],"introduces":[3],"inter-frame":[4,58],"information":[5,51,59],"into":[6,72],"the":[7,19,22,26,41,50,70,85,90,94,101,108,119,128],"voice":[8],"features":[9,86],"set":[10,27],"is":[11,60,87,105],"proposed":[12,129],"in":[13],"this":[14,66],"paper.":[15],"The":[16,62],"adds":[18],"autocorrelations":[20,36,71],"of":[21,28,56,84,93],"cepstral":[23,95],"coefficients":[24,96],"to":[25,52,89,99],"characteristics":[29],"used":[30,98],"for":[31,127,133],"training":[32],"and":[33,135],"recognition.":[34],"Those":[35],"should":[37,46,122],"not":[38],"depend":[39,48],"on":[40,49,117],"environment":[42],"conditions.":[43],"Because":[44],"they":[45],"only":[47],"recognize,":[53],"a":[54,73],"normalization":[55,67],"convenient.":[61],"defined":[64,76],"implements":[65],"by":[68],"transforming":[69],"normalized":[74],"domain":[75,111],"with":[77],"clean":[78],"adaptation":[79],"data.":[80],"This":[81],"temporal":[82,120],"processing":[83,121],"added":[88],"Histogram":[91],"Equalization":[92],"(HEQ)":[97],"normalize":[100],"MFCCs.":[102],"An":[103],"analysis":[104],"done":[106],"about":[107],"most":[109],"effective":[110],"(original":[112],"MFCCS":[113],"or":[114],"equalized":[115],"MFCCs)":[116],"which":[118],"be":[123],"executed.":[124],"Performance":[125],"results":[126],"algorithm":[130],"are":[131],"presented":[132],"AURORA2":[134],"AURORA4":[136],"databases.":[137]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}