{"id":"https://openalex.org/W2131568527","doi":"https://doi.org/10.1145/2187980.2188220","title":"Power-law distribution in encoded MFCC frames of speech, music, and environmental sound signals","display_name":"Power-law distribution in encoded MFCC frames of speech, music, and environmental sound signals","publication_year":2012,"publication_date":"2012-04-16","ids":{"openalex":"https://openalex.org/W2131568527","doi":"https://doi.org/10.1145/2187980.2188220","mag":"2131568527"},"language":"en","primary_location":{"id":"doi:10.1145/2187980.2188220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2187980.2188220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on World Wide Web","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/A5110232260","display_name":"Mart\u00edn Haro","orcid":null},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mart\u00edn Haro","raw_affiliation_strings":["Universitat Pompeu Fabra, Barcelona, Spain","Universitat Pompeu, Fabra, Barcelona, Spain#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Pompeu Fabra, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Universitat Pompeu, Fabra, Barcelona, Spain#TAB#","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103092198","display_name":"Joan Serr\u00e0","orcid":"https://orcid.org/0000-0003-1303-6558"},"institutions":[{"id":"https://openalex.org/I134820265","display_name":"Consejo Superior de Investigaciones Cient\u00edficas","ror":"https://ror.org/02gfc7t72","country_code":"ES","type":"government","lineage":["https://openalex.org/I134820265"]},{"id":"https://openalex.org/I4210140746","display_name":"Asociaci\u00f3n de Investigaci\u00f3n de las Industrias de la Construcci\u00f3n","ror":"https://ror.org/04yeq6a80","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210140746"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joan Serr\u00e0","raw_affiliation_strings":["Consejo Superior de Investigaciones Cient\u00edficas, Bellaterra, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Consejo Superior de Investigaciones Cient\u00edficas, Bellaterra, Spain","institution_ids":["https://openalex.org/I4210140746","https://openalex.org/I134820265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005786030","display_name":"\u221a\u00c5lvaro Corral","orcid":"https://orcid.org/0000-0002-5280-2692"},"institutions":[{"id":"https://openalex.org/I4210122226","display_name":"Centre de Recerca Matem\u00e0tica","ror":"https://ror.org/020s51w82","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210122226","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"\u00c1lvaro Corral","raw_affiliation_strings":["Centre de Recerca Matem\u00e0tica, Bellaterra, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Recerca Matem\u00e0tica, Bellaterra, Spain","institution_ids":["https://openalex.org/I4210122226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020790562","display_name":"Perfecto Herrera","orcid":"https://orcid.org/0000-0003-2799-7675"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Perfecto Herrera","raw_affiliation_strings":["Universitat Pompeu Fabra, Barcelona, Spain","Universitat Pompeu, Fabra, Barcelona, Spain#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Pompeu Fabra, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Universitat Pompeu, Fabra, Barcelona, Spain#TAB#","institution_ids":["https://openalex.org/I170486558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2477,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58338076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"895","last_page":"902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music 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/T11309","display_name":"Music 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/T10860","display_name":"Speech and Audio Processing","score":0.9990000128746033,"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":0.9829000234603882,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8875172734260559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7222448587417603},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6085501909255981},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4766407907009125},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41740554571151733},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4153885841369629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4142433702945709},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40935245156288147},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.30102744698524475}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8875172734260559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222448587417603},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6085501909255981},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4766407907009125},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41740554571151733},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4153885841369629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4142433702945709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40935245156288147},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30102744698524475},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2187980.2188220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2187980.2188220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:recercat.cat:2072/377748","is_oa":false,"landing_page_url":"http://hdl.handle.net/2072/377748","pdf_url":null,"source":{"id":"https://openalex.org/S4306402147","display_name":"RECERCAT (Consorci de Serveis Universitaris de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210090028","host_organization_name":"Consorci de Serveis Universitaris de Catalunya","host_organization_lineage":["https://openalex.org/I4210090028"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RECERCAT (Dip\u00f2sit de la Recerca de Catalunya)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W48943499","https://openalex.org/W129413713","https://openalex.org/W875533737","https://openalex.org/W1515087027","https://openalex.org/W1557133539","https://openalex.org/W1563053494","https://openalex.org/W1574901103","https://openalex.org/W1593249691","https://openalex.org/W1660390307","https://openalex.org/W1887560235","https://openalex.org/W1973401750","https://openalex.org/W1979731145","https://openalex.org/W1982130270","https://openalex.org/W1987942996","https://openalex.org/W1992468098","https://openalex.org/W1999854131","https://openalex.org/W2000042664","https://openalex.org/W2012510869","https://openalex.org/W2012735164","https://openalex.org/W2038678505","https://openalex.org/W2072274221","https://openalex.org/W2079656678","https://openalex.org/W2088979183","https://openalex.org/W2090579027","https://openalex.org/W2103869314","https://openalex.org/W2106317195","https://openalex.org/W2107908439","https://openalex.org/W2119821739","https://openalex.org/W2127566601","https://openalex.org/W2146223937","https://openalex.org/W2148154194","https://openalex.org/W2148809503","https://openalex.org/W2296317756","https://openalex.org/W2619993508","https://openalex.org/W2950627632","https://openalex.org/W2991668532","https://openalex.org/W3003725138","https://openalex.org/W3037148409","https://openalex.org/W3103362336","https://openalex.org/W3127686677","https://openalex.org/W4231080135","https://openalex.org/W6635275076","https://openalex.org/W6637101025","https://openalex.org/W6670271065"],"related_works":["https://openalex.org/W4246349004","https://openalex.org/W2181871477","https://openalex.org/W2061163896","https://openalex.org/W2432604435","https://openalex.org/W2089229568","https://openalex.org/W2019490789","https://openalex.org/W2789994503","https://openalex.org/W4317383455","https://openalex.org/W2548511587","https://openalex.org/W4293232884"],"abstract_inverted_index":{"Many":[0],"sound-related":[1],"applications":[2],"use":[3,34,67],"Mel-Frequency":[4],"Cepstral":[5],"Coefficients":[6],"(MFCC)":[7],"to":[8,52,78,155],"describe":[9],"audio":[10,37],"timbral":[11],"content.":[12],"Most":[13],"of":[14,27,35,42,48,58,81,91,106,141,163,172,184],"the":[15,25,33,40,55,59,88,107,138,142,161,169,181,190,215,223,239],"research":[16],"efforts":[17],"dealing":[18],"with":[19],"MFCCs":[20],"have":[21,156,250],"been":[22],"focused":[23],"on":[24,54],"study":[26,85,168],"different":[28,43],"classification":[29,212],"and":[30,86,98,129,176,204],"clustering":[31],"algorithms,":[32],"complementary":[36],"descriptors,":[38],"or":[39],"effect":[41],"distance":[44],"measures.":[45],"The":[46],"goal":[47],"this":[49,233],"paper":[50],"is":[51,195],"focus":[53],"statistical":[56],"properties":[57],"MFCC":[60,76,93,110,152,242],"descriptor":[61],"itself.":[62],"For":[63,149],"that":[64,72,119,125,131,137,178,238,241],"purpose,":[65],"we":[66,167,209,236],"a":[68,74,79,113,122,245],"simple":[69],"encoding":[70],"process":[71],"maps":[73],"short-time":[75],"vector":[77],"dictionary":[80],"binary":[82],"code-words.":[83],"We":[84,102,134],"characterize":[87],"rank-frequency":[89,170],"distribution":[90,186,247],"such":[92],"code-words,":[94],"considering":[95,219],"speech,":[96],"music,":[97],"environmental":[99],"sound":[100,108],"sources.":[101],"show":[103,177],"that,":[104],"regardless":[105],"source,":[109],"code-words":[111,124,145],"follow":[112,244],"shifted":[114],"power-law":[115,246],"distribution.":[116],"This":[117,193],"implies":[118],"there":[120],"are":[121],"few":[123],"occur":[126],"very":[127],"frequently":[128],"many":[130],"happen":[132],"rarely.":[133],"also":[135],"observe":[136],"inner":[139],"structure":[140],"most":[143],"frequent":[144],"has":[146],"characteristic":[147],"patterns.":[148],"instance,":[150],"close":[151],"coefficients":[153],"tend":[154],"similar":[157,211],"quantization":[158],"values":[159],"in":[160,189,197,222],"case":[162],"music":[164,174],"signals.":[165],"Finally,":[166],"distributions":[171],"individual":[173],"recordings":[175,224],"they":[179],"present":[180],"same":[182],"type":[183],"heavy-tailed":[185],"as":[187,214],"found":[188],"large-scale":[191],"databases.":[192],"fact":[194,240],"exploited":[196],"two":[198],"supervised":[199],"semantic":[200],"inference":[201],"tasks:":[202],"genre":[203],"instrument":[205],"classification.":[206],"In":[207],"particular,":[208],"obtain":[210],"results":[213],"ones":[216],"obtained":[217],"by":[218,225],"all":[220],"frames":[221,243],"just":[226],"using":[227],"50":[228],"(properly":[229],"selected)":[230],"frames.":[231],"Beyond":[232],"particular":[234],"example,":[235],"believe":[237],"could":[248],"potentially":[249],"important":[251],"implications":[252],"for":[253],"future":[254],"audio-based":[255],"applications.":[256]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
