{"id":"https://openalex.org/W2116897884","doi":"https://doi.org/10.1155/s1110865704309030","title":"Using Mel-Frequency Cepstral Coefficients in Missing Data Technique","display_name":"Using Mel-Frequency Cepstral Coefficients in Missing Data Technique","publication_year":2004,"publication_date":"2004-03-21","ids":{"openalex":"https://openalex.org/W2116897884","doi":"https://doi.org/10.1155/s1110865704309030","mag":"2116897884"},"language":"en","primary_location":{"id":"doi:10.1155/s1110865704309030","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704309030","pdf_url":null,"source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1155/s1110865704309030","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhang Jun","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Zhang Jun","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, Kowloon, China","School of Electronic and Communication Engineering, South China University of Technology, Guangzhou, 510640, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, Kowloon, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"School of Electronic and Communication Engineering, South China University of Technology, Guangzhou, 510640, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, Kowloon, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, Kowloon, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Gang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gang","raw_affiliation_strings":["School of Electronic and Communication Engineering, South China University of Technology, Guangzhou, 510640, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Communication Engineering, South China University of Technology, Guangzhou, 510640, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011997254","display_name":"Qingyang Hong","orcid":"https://orcid.org/0000-0001-7380-8690"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qingyang Hong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, Kowloon, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, Kowloon, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168719708","https://openalex.org/I90610280"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":0.2896,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.66431415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2004","issue":"3","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":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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":0.9979000091552734,"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/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8431986570358276},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.7707348465919495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7559789419174194},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.7497246265411377},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6263277530670166},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6184620261192322},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5941553115844727},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5403414964675903},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4534114599227905},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.4252455234527588},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42277249693870544},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.414595365524292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3588865399360657},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3283308744430542},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07948476076126099},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.06268605589866638}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8431986570358276},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.7707348465919495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559789419174194},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.7497246265411377},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6263277530670166},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6184620261192322},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5941553115844727},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5403414964675903},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4534114599227905},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.4252455234527588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42277249693870544},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.414595365524292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3588865399360657},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3283308744430542},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07948476076126099},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.06268605589866638},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/s1110865704309030","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704309030","pdf_url":null,"source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4069f09d541946e58991ca709a13df25","is_oa":true,"landing_page_url":"https://doaj.org/article/4069f09d541946e58991ca709a13df25","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2004, Iss 3, p 652167 (2004)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/s1110865704309030","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704309030","pdf_url":null,"source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W75153181","https://openalex.org/W382624523","https://openalex.org/W1974387177","https://openalex.org/W1984428652","https://openalex.org/W1984746632","https://openalex.org/W2060929444","https://openalex.org/W2074354966","https://openalex.org/W2110873266","https://openalex.org/W2148154194","https://openalex.org/W2151544854","https://openalex.org/W2153723410"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2766680336","https://openalex.org/W2133320490","https://openalex.org/W2387604097","https://openalex.org/W2787035864","https://openalex.org/W4289830142","https://openalex.org/W2373675101","https://openalex.org/W3150393935","https://openalex.org/W1497065097"],"abstract_inverted_index":{"Filter":[0],"bank":[1,62],"is":[2,75],"the":[3,10,13,26,30,43,46,54,69,81,84],"most":[4],"common":[5],"feature":[6],"being":[7],"employed":[8],"in":[9,24,29],"research":[11],"of":[12,53,60,71,83],"marginalisation":[14,44],"approaches":[15],"for":[16,67],"robust":[17],"speech":[18],"recognition":[19],"due":[20],"to":[21],"its":[22],"simplicity":[23],"detecting":[25],"unreliable":[27],"data":[28],"frequency":[31],"domain.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36],"propose":[37],"a":[38],"hybrid":[39],"approach":[40],"based":[41],"on":[42],"and":[45],"soft":[47],"decision":[48],"techniques":[49],"that":[50],"make":[51],"use":[52],"Mel-frequency":[55],"cepstral":[56,73],"coefficients":[57],"(MFCCs)":[58],"instead":[59],"filter":[61],"coefficients.":[63],"A":[64],"new":[65],"technique":[66],"estimating":[68],"reliability":[70],"each":[72],"component":[74],"also":[76],"presented.":[77],"Experimental":[78],"results":[79],"show":[80],"effectiveness":[82],"proposed":[85],"approaches.":[86]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
