{"id":"https://openalex.org/W2156650528","doi":"https://doi.org/10.1109/mmsp.2004.1436401","title":"Approach of feature with confident weight for robust speech recognition","display_name":"Approach of feature with confident weight for robust speech recognition","publication_year":2005,"publication_date":"2005-06-07","ids":{"openalex":"https://openalex.org/W2156650528","doi":"https://doi.org/10.1109/mmsp.2004.1436401","mag":"2156650528"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2004.1436401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2004.1436401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE 6th Workshop on Multimedia Signal Processing, 2004.","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/A5088862617","display_name":"Yubo Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yubo Ge","raw_affiliation_strings":["Department of Mathematics Science, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102010680","display_name":"Jun Song","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Song","raw_affiliation_strings":["Department of Mathematics Science, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102160972","display_name":"Lingnan Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Lingnan Ge","raw_affiliation_strings":["School of Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049973573","display_name":"Koun Shirai","orcid":"https://orcid.org/0000-0003-4350-966X"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Shirai","raw_affiliation_strings":["School of Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088862617"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.3179,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61307038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"11","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9984999895095825,"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/T11309","display_name":"Music and Audio Processing","score":0.9943000078201294,"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/robustness","display_name":"Robustness (evolution)","score":0.7719247937202454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7007418274879456},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6893997192382812},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.6748258471488953},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.6273657083511353},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6100875735282898},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6028347611427307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5322874188423157},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5137220621109009},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4847559630870819},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.46928510069847107},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.46617913246154785},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.44551682472229004},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.18705302476882935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18294799327850342}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7719247937202454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7007418274879456},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6893997192382812},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6748258471488953},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.6273657083511353},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6100875735282898},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6028347611427307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5322874188423157},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5137220621109009},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4847559630870819},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.46928510069847107},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.46617913246154785},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.44551682472229004},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.18705302476882935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18294799327850342},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2004.1436401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2004.1436401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE 6th Workshop on Multimedia Signal Processing, 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W26240804","https://openalex.org/W79317937","https://openalex.org/W203616620","https://openalex.org/W1552377494","https://openalex.org/W1631909651","https://openalex.org/W1747829123","https://openalex.org/W2001496355","https://openalex.org/W2074354966","https://openalex.org/W2151544854","https://openalex.org/W4301659242","https://openalex.org/W6603280604","https://openalex.org/W6872735615"],"related_works":["https://openalex.org/W2018086531","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","https://openalex.org/W2160511961","https://openalex.org/W4317383455"],"abstract_inverted_index":{"Robustness":[0],"enhancement":[1],"has":[2,23],"become":[3],"one":[4],"of":[5,9,45,56,81,90,101],"the":[6,10,18,42,51,66,88,99,133,139],"research":[7],"focuses":[8],"acoustic":[11],"speech":[12,34],"recognition":[13,35,140],"system.":[14],"In":[15],"recent":[16],"works,":[17],"missing":[19],"feature":[20,46,82,92],"theory":[21],"(MFT)":[22],"been":[24],"proved":[25],"as":[26,94,122],"an":[27,123,143],"available":[28],"and":[29,63,97,114,148],"considerable":[30],"solution":[31],"for":[32],"robust":[33],"based":[36,75],"on":[37,76,125],"either":[38],"ignoring":[39],"or":[40],"compensating":[41],"unreliable":[43],"components":[44],"vectors":[47],"corrupted":[48],"mainly":[49],"by":[50],"band-limited":[52],"background":[53],"noise.":[54],"Because":[55],"MPA":[57],"classifying":[58],"in":[59,103,142],"a":[60,104],"binary":[61],"way":[62],"dealing":[64],"with":[65,83],"cepstral":[67,126],"feature,":[68],"this":[69],"paper":[70],"proposes":[71],"three":[72],"new":[73],"approaches":[74],"confidence":[77,89],"analysis.":[78],"The":[79,108],"approach":[80,135],"confident":[84],"weight":[85,96],"(AFCW)":[86],"estimates":[87],"each":[91],"component":[93],"its":[95],"describes":[98],"effect":[100],"noise":[102,150],"more":[105],"precise":[106],"way.":[107],"other":[109],"two":[110],"approaches,":[111],"SC(simple":[112],"cepstral)":[113,117],"TC-":[115],"(total":[116],"AFCW,":[118],"can":[119],"be":[120],"regarded":[121],"AFCW":[124],"domain.":[127],"Experimental":[128],"results":[129],"have":[130],"shown":[131],"that":[132],"proposed":[134],"could":[136],"significantly":[137],"improve":[138],"accuracy":[141],"adverse":[144],"environment,":[145],"including":[146],"stationary":[147],"non-stationary":[149],"environments.":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}