{"id":"https://openalex.org/W1996987108","doi":"https://doi.org/10.1109/taslp.2014.2377591","title":"Minimum Mean-Square Error Estimation of Mel-Frequency Cepstral Features\u2013A Theoretically Consistent Approach","display_name":"Minimum Mean-Square Error Estimation of Mel-Frequency Cepstral Features\u2013A Theoretically Consistent Approach","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1996987108","doi":"https://doi.org/10.1109/taslp.2014.2377591","mag":"1996987108"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2014.2377591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2014.2377591","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5101679595","display_name":"Jesper Jensen","orcid":"https://orcid.org/0000-0003-1478-622X"},"institutions":[{"id":"https://openalex.org/I4210130492","display_name":"Oticon Medical (Denmark)","ror":"https://ror.org/03c5ds320","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210130492"]},{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jesper Jensen","raw_affiliation_strings":["Aalborg University, Aalborg, Denmark","Oticon A/S, Sm\u00f8rum, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"Oticon A/S, Sm\u00f8rum, Denmark","institution_ids":["https://openalex.org/I4210130492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090108098","display_name":"Zheng\u2010Hua Tan","orcid":"https://orcid.org/0000-0001-6856-8928"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Zheng-Hua Tan","raw_affiliation_strings":["Aalborg University, Aalborg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5581,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.90155075,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"1","first_page":"186","last_page":"197"},"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/T11309","display_name":"Music and Audio Processing","score":0.9945999979972839,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/estimation","display_name":"Estimation","score":0.615347683429718},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.6109368205070496},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5858438611030579},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49409201741218567},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.48278486728668213},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.46040594577789307},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.4580804705619812},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4357425570487976},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.417660653591156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4113496243953705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3714507520198822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2316122055053711},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07147976756095886},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.06172388792037964},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.057965874671936035}],"concepts":[{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.615347683429718},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.6109368205070496},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5858438611030579},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49409201741218567},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.48278486728668213},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.46040594577789307},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.4580804705619812},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4357425570487976},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.417660653591156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4113496243953705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3714507520198822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2316122055053711},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07147976756095886},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.06172388792037964},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.057965874671936035},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taslp.2014.2377591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2014.2377591","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/384767c8-81cf-4c1e-9761-aa18aeceaba1","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/384767c8-81cf-4c1e-9761-aa18aeceaba1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jensen , J &amp; Tan , Z-H 2015 , ' Minimum Mean-Square Error Estimation of Mel-Frequency Cepstral Features : A Theoretically Consistent Approach ' , I E E E Transactions on Audio, Speech and Language Processing , vol. 23 , no. 1 , pp. 186 - 197 . https://doi.org/10.1109/TASLP.2014.2377591","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"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":52,"referenced_works":["https://openalex.org/W59009386","https://openalex.org/W75153181","https://openalex.org/W569503658","https://openalex.org/W1495679096","https://openalex.org/W1560013842","https://openalex.org/W1563527684","https://openalex.org/W1572533133","https://openalex.org/W1573570773","https://openalex.org/W1635512741","https://openalex.org/W1805162375","https://openalex.org/W1932968309","https://openalex.org/W1974387177","https://openalex.org/W1975301756","https://openalex.org/W1989387577","https://openalex.org/W2017866319","https://openalex.org/W2050091530","https://openalex.org/W2051428568","https://openalex.org/W2052667477","https://openalex.org/W2063491684","https://openalex.org/W2074354966","https://openalex.org/W2090861223","https://openalex.org/W2099111195","https://openalex.org/W2102316477","https://openalex.org/W2109215269","https://openalex.org/W2109349638","https://openalex.org/W2109744426","https://openalex.org/W2120011474","https://openalex.org/W2121973264","https://openalex.org/W2122972875","https://openalex.org/W2126597753","https://openalex.org/W2131753991","https://openalex.org/W2135284480","https://openalex.org/W2137075158","https://openalex.org/W2146083413","https://openalex.org/W2147299274","https://openalex.org/W2151484683","https://openalex.org/W2153894152","https://openalex.org/W2158336491","https://openalex.org/W2159514726","https://openalex.org/W2164715564","https://openalex.org/W2167204516","https://openalex.org/W2169967551","https://openalex.org/W2247516327","https://openalex.org/W2772030003","https://openalex.org/W3127686677","https://openalex.org/W3147539069","https://openalex.org/W4245919820","https://openalex.org/W4322501673","https://openalex.org/W6603045223","https://openalex.org/W6634340323","https://openalex.org/W6638218304","https://openalex.org/W6746525319"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W4385672897","https://openalex.org/W2373675101","https://openalex.org/W106160982","https://openalex.org/W2359140082","https://openalex.org/W2075897667","https://openalex.org/W1556565948","https://openalex.org/W2907746047"],"abstract_inverted_index":{"In":[0,113,135,162],"this":[1,191],"work,":[2],"we":[3],"consider":[4],"the":[5,45,49,55,115,128,147,174,178,209],"problem":[6],"of":[7,26,37,51,97,137,164,193],"feature":[8,187],"enhancement":[9,66,188],"for":[10,20,132],"noise-robust":[11],"automatic":[12],"speech":[13],"recognition":[14],"(ASR).":[15],"We":[16,181],"propose":[17],"a":[18,34,68],"method":[19,46,88,116,149,176],"minimum":[21,35,69],"mean-square":[22,70,145],"error":[23,71],"(MMSE)":[24],"estimation":[25,96,139],"mel-frequency":[27,98],"cepstral":[28,99],"features,":[29],"which":[30,152],"is":[31,89,117,153],"based":[32,199],"on":[33,54,200],"number":[36],"well-established,":[38],"theoretically":[39,196,201],"consistent":[40],"statistical":[41,56,168],"assumptions.":[42],"More":[43],"specifically,":[44],"belongs":[47],"to":[48,120,155,206],"class":[50,192],"methods":[52],"relying":[53],"framework":[57],"proposed":[58,148,175],"in":[59,91,208],"Ephraim":[60],"and":[61,110,177],"Malah's":[62],"original":[63],"work":[64],"(\u201cSpeech":[65],"using":[67],"short-time":[72],"spectral":[73],"amplitude":[74],"estimator,\u201d":[75],"IEEE":[76],"Trans.":[77],"Acoust.,":[78],"Speech,":[79],"Signal":[80],"Process.,":[81],"vol.":[82],"ASSP-32,":[83],"no.":[84],"6,":[85],"1984).":[86],"The":[87],"general":[90],"that":[92,183],"it":[93],"allows":[94],"MMSE":[95,210],"coefficients":[100],"(MFCC's),":[101],"cepstral-mean":[102],"subtracted":[103],"(CMS-)":[104],"MFCC's,":[105],"autoregressive-moving-average":[106],"(ARMA)-filtered":[107],"CMS-MFCC's,":[108],"velocity,":[109],"acceleration":[111],"coefficients.":[112],"addition,":[114],"easily":[118],"modified":[119],"take":[121],"into":[122],"account":[123],"other":[124,159],"compressive":[125],"non-linearities":[126],"than":[127,158],"logarithm":[129],"traditionally":[130],"used":[131],"MFCC":[133,138,144,186],"computation.":[134],"terms":[136,163],"performance,":[140,166],"as":[141],"measured":[142],"by":[143],"error,":[146],"shows":[150],"performance":[151],"identical":[154],"or":[156,198],"better":[157],"state-of-the-art":[160,179,185],"methods.":[161,180],"ASR":[165],"no":[167],"difference":[169],"could":[170],"be":[171],"found":[172],"between":[173],"conclude":[182],"existing":[184],"algorithms":[189],"within":[190],"algorithms,":[194],"while":[195],"suboptimal":[197],"inconsistent":[202],"assumptions,":[203],"perform":[204],"close":[205],"optimally":[207],"sense.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":8},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
