{"id":"https://openalex.org/W2153529069","doi":"https://doi.org/10.1109/tasl.2008.2006575","title":"Higher Order Cepstral Moment Normalization for Improved Robust Speech Recognition","display_name":"Higher Order Cepstral Moment Normalization for Improved Robust Speech Recognition","publication_year":2009,"publication_date":"2009-01-16","ids":{"openalex":"https://openalex.org/W2153529069","doi":"https://doi.org/10.1109/tasl.2008.2006575","mag":"2153529069"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2008.2006575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2008.2006575","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"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 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/A5077154107","display_name":"Chang-Wen Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chang-Wen Hsu","raw_affiliation_strings":["Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044010123","display_name":"Lin-shan Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Lin-Shan Lee","raw_affiliation_strings":["Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":3.9972,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.94065611,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"17","issue":"2","first_page":"205","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9941999912261963,"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":0.925993800163269},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8761141300201416},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.7580298781394958},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5555242300033569},{"id":"https://openalex.org/keywords/flatness","display_name":"Flatness (cosmology)","score":0.5437537431716919},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5023887157440186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49160274863243103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4044426679611206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34724828600883484},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.21265599131584167},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11021190881729126}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.925993800163269},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8761141300201416},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.7580298781394958},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5555242300033569},{"id":"https://openalex.org/C2778530986","wikidata":"https://www.wikidata.org/wiki/Q5457948","display_name":"Flatness (cosmology)","level":3,"score":0.5437537431716919},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5023887157440186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49160274863243103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4044426679611206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34724828600883484},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.21265599131584167},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11021190881729126},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C26405456","wikidata":"https://www.wikidata.org/wiki/Q338","display_name":"Cosmology","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tasl.2008.2006575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2008.2006575","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"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 Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W88928289","https://openalex.org/W90966543","https://openalex.org/W93415175","https://openalex.org/W99718630","https://openalex.org/W142161231","https://openalex.org/W216858077","https://openalex.org/W301215033","https://openalex.org/W322646691","https://openalex.org/W344400426","https://openalex.org/W1488775899","https://openalex.org/W1543335084","https://openalex.org/W1566935871","https://openalex.org/W1573570773","https://openalex.org/W1590724174","https://openalex.org/W1643320849","https://openalex.org/W1800365115","https://openalex.org/W1893859273","https://openalex.org/W1898362271","https://openalex.org/W1934584000","https://openalex.org/W1967558850","https://openalex.org/W1992012199","https://openalex.org/W1992576854","https://openalex.org/W2036099872","https://openalex.org/W2050693797","https://openalex.org/W2051970538","https://openalex.org/W2066561607","https://openalex.org/W2073936352","https://openalex.org/W2082474452","https://openalex.org/W2093985521","https://openalex.org/W2097395002","https://openalex.org/W2105885996","https://openalex.org/W2124629003","https://openalex.org/W2128653836","https://openalex.org/W2130839206","https://openalex.org/W2137075158","https://openalex.org/W2146442261","https://openalex.org/W2146871184","https://openalex.org/W2151484683","https://openalex.org/W2152175514","https://openalex.org/W2153034164","https://openalex.org/W2154108704","https://openalex.org/W2157590573","https://openalex.org/W2171000037","https://openalex.org/W2172200851","https://openalex.org/W3148332129","https://openalex.org/W4252684946","https://openalex.org/W6603637912","https://openalex.org/W6603866146","https://openalex.org/W6605796362","https://openalex.org/W6608747042","https://openalex.org/W6611162942","https://openalex.org/W6611648329","https://openalex.org/W6629240969","https://openalex.org/W6632380265","https://openalex.org/W6633998848","https://openalex.org/W6634340323","https://openalex.org/W6640283853","https://openalex.org/W6682657512","https://openalex.org/W6685110083"],"related_works":["https://openalex.org/W4252379076","https://openalex.org/W2144521324","https://openalex.org/W289005589","https://openalex.org/W2047769394","https://openalex.org/W1608910676","https://openalex.org/W2153529069","https://openalex.org/W2153557281","https://openalex.org/W2625954004","https://openalex.org/W2155082225","https://openalex.org/W3104006473"],"abstract_inverted_index":{"Cepstral":[0],"normalization":[1],"has":[2],"widely":[3],"been":[4],"used":[5],"as":[6],"a":[7,76],"powerful":[8],"approach":[9,21,157],"to":[10,75,126,141],"produce":[11],"robust":[12],"features":[13],"for":[14,206],"speech":[15],"recognition.":[16],"Good":[17],"examples":[18],"of":[19,45,60,79,110,119,168,171,209],"this":[20,54,156],"include":[22],"cepstral":[23,27,48,63],"mean":[24,28],"subtraction,":[25],"and":[26,29,41,113,137,149,161,186,203,211],"variance":[30],"normalization,":[31,65],"in":[32,66],"which":[33,67,103],"either":[34],"the":[35,39,42,46,58,68,91,107,111,120,139,165,169,172,179,195],"first":[36,40],"or":[37,84,116],"both":[38],"second":[43],"moments":[44,78,94,128],"Mel-frequency":[47],"coefficients":[49],"(MFCCs)":[50],"are":[51,71,95,104,158],"normalized.":[52],"In":[53],"paper,":[55],"we":[56],"propose":[57],"family":[59],"higher":[61,81,92],"order":[62,93],"moment":[64],"MFCC":[69,173],"parameters":[70],"normalized":[72],"with":[73,100,124,145,194],"respect":[74,125],"few":[77],"orders":[80],"than":[82],"1":[83],"2.":[85],"The":[86,152],"basic":[87],"idea":[88],"is":[89],"that":[90,193],"more":[96,131,143,146],"dominated":[97],"by":[98],"samples":[99],"larger":[101],"values,":[102],"very":[105],"likely":[106],"primary":[108],"sources":[109],"asymmetry":[112],"abnormal":[114],"flatness":[115,148],"tail":[117,150],"size":[118],"parameter":[121],"distributions.":[122],"Normalization":[123],"these":[127,134],"therefore":[129],"puts":[130],"emphasis":[132],"on":[133,164,178],"signal":[135],"components":[136],"constrains":[138],"distributions":[140,170],"be":[142,201],"symmetric":[144],"reasonable":[147],"size.":[151],"fundamental":[153],"principles":[154],"behind":[155],"also":[159],"analyzed":[160],"discussed":[162],"based":[163,177],"statistical":[166],"properties":[167],"parameters.":[174],"Experimental":[175],"results":[176],"AURORA":[180,182,184],"2,":[181],"3,":[183],"4,":[185],"Resource":[187],"Management":[188],"(RM)":[189],"testing":[190],"environments":[191],"show":[192],"proposed":[196],"approach,":[197],"recognition":[198],"accuracy":[199],"can":[200],"significantly":[202],"consistently":[204],"improved":[205],"all":[207,212],"types":[208],"noise":[210],"SNR":[213],"conditions.":[214]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}