{"id":"https://openalex.org/W4385190048","doi":"https://doi.org/10.1145/3583133.3590728","title":"Optimization of MFCCs for Time Signature Detection Using Genetic Algorithm","display_name":"Optimization of MFCCs for Time Signature Detection Using Genetic Algorithm","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385190048","doi":"https://doi.org/10.1145/3583133.3590728"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3590728","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3590728","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583133.3590728","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3583133.3590728","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043965438","display_name":"Jeremiah Abimbola","orcid":"https://orcid.org/0000-0002-9963-2563"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jeremiah Abimbola","raw_affiliation_strings":["Silesian University of Technology, Gliwice, Poland"],"raw_orcid":"https://orcid.org/0000-0002-9963-2563","affiliations":[{"raw_affiliation_string":"Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057709904","display_name":"Daniel Kostrzewa","orcid":"https://orcid.org/0000-0003-2781-3709"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Daniel Kostrzewa","raw_affiliation_strings":["Silesian University of Technology, Gliwice, Poland","Silesian University of Technology, Gliwice, Poland Silesian University of Technology, Gliwice, Poland"],"raw_orcid":"https://orcid.org/0000-0003-2781-3709","affiliations":[{"raw_affiliation_string":"Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]},{"raw_affiliation_string":"Silesian University of Technology, Gliwice, Poland Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049422078","display_name":"Pawe\u0142 Kasprowski","orcid":"https://orcid.org/0000-0002-2090-335X"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawel Kasprowski","raw_affiliation_strings":["Silesian University of Technology, Gliwice, Poland"],"raw_orcid":"https://orcid.org/0000-0002-2090-335X","affiliations":[{"raw_affiliation_string":"Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I119004910"],"apc_list":null,"apc_paid":null,"fwci":0.4623,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57149538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"459","last_page":"462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"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":1.0,"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":0.9959999918937683,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9868999719619751,"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/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8455907106399536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7391237020492554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5439701676368713},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.47740522027015686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47718560695648193},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4678564667701721},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.44834914803504944},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4351065158843994},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4198630452156067},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4069351553916931},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4031386077404022},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37338748574256897},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2545117139816284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14650890231132507},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10136863589286804}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8455907106399536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7391237020492554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5439701676368713},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.47740522027015686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47718560695648193},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4678564667701721},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.44834914803504944},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4351065158843994},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4198630452156067},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4069351553916931},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4031386077404022},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37338748574256897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2545117139816284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14650890231132507},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10136863589286804},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3590728","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3590728","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583133.3590728","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3583133.3590728","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3590728","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583133.3590728","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385190048.pdf","grobid_xml":"https://content.openalex.org/works/W4385190048.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W567826834","https://openalex.org/W2007472600","https://openalex.org/W2133824856","https://openalex.org/W2155764689","https://openalex.org/W2156017586","https://openalex.org/W2521140584","https://openalex.org/W2535255545","https://openalex.org/W2580571123","https://openalex.org/W2906906774","https://openalex.org/W3204388647"],"related_works":["https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W1971863322","https://openalex.org/W2422472940","https://openalex.org/W2144059113","https://openalex.org/W3003836766","https://openalex.org/W4377970696","https://openalex.org/W1964120219","https://openalex.org/W2136054869","https://openalex.org/W2988724699"],"abstract_inverted_index":{"In":[0,145],"the":[1,6,90,93,135,138,143,148,172,175,182,190],"Music":[2],"Information":[3],"Retrieval":[4],"domain,":[5],"concept":[7],"of":[8,44,159,184,189],"time":[9,17,48],"signature":[10,20,49],"detection":[11],"has":[12],"been":[13,65],"ongoing":[14],"for":[15,75,132,171],"some":[16],"now.":[18],"Time":[19],"is":[21,42],"being":[22,137],"considered":[23,131],"as":[24,32],"a":[25,38,84,154],"feature":[26],"in":[27,72,142,157,186,197],"broader":[28],"classification":[29],"problems":[30],"such":[31],"music":[33,52],"genre":[34],"classification.":[35],"To":[36],"develop":[37],"realistic":[39],"model":[40,86,99],"that":[41,118,168],"capable":[43],"accurately":[45],"detecting":[46],"any":[47,51],"from":[50,92,110],"track,":[53],"different":[54],"techniques":[55],"are":[56,119],"adopted.":[57],"Based":[58],"on":[59,165],"previous":[60,94,149],"research,":[61],"two":[62,150,166],"models":[63],"have":[64],"highlighted":[66],"(Beat":[67],"and":[68,127],"Audio":[69],"Similarity":[70,103],"Matrix)":[71],"this":[73,98],"study":[74],"their":[76,81],"potential":[77],"but":[78],"not":[79],"without":[80],"limitations.":[82],"Therefore,":[83],"new":[85],"was":[87],"developed":[88],"with":[89,134,147],"idea":[91],"models.":[95],"We":[96],"called":[97],"Mel-Frequency":[100],"Cepstral":[101],"Coefficient":[102],"Matrix":[104],"(MFCCSM).":[105],"It":[106],"uses":[107],"Mel-coefficients":[108],"extracted":[109],"audio":[111],"signals":[112],"which":[113,192],"produce":[114],"mel-frequency":[115],"cepstrum":[116],"coefficients":[117,188],"eventually":[120],"optimized.":[121],"Two":[122],"optimization":[123,126,163,177],"techniques,":[124],"Bayesian":[125],"Genetic":[128],"Algorithm,":[129],"were":[130,169],"optimization,":[133],"latter":[136],"major":[139],"technique":[140],"used":[141,170],"model.":[144],"comparison":[146],"models,":[151],"MFCCSM":[152],"showed":[153],"significant":[155],"increase":[156],"accuracy":[158],"about":[160],"8%":[161],"after":[162],"based":[164],"datasets":[167],"study.":[173],"Overall,":[174],"GA":[176],"also":[178],"gives":[179],"insight":[180],"into":[181],"set":[183],"frequencies":[185],"each":[187],"MFCC":[191],"can":[193],"be":[194],"further":[195],"explored":[196],"future":[198],"research.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-24T07:32:12.397491","created_date":"2025-10-10T00:00:00"}