{"id":"https://openalex.org/W2083592569","doi":"https://doi.org/10.1109/icassp.2013.6637642","title":"Initialization-robust Bayesian multipitch analyzer based on psychoacoustical and musical criteria","display_name":"Initialization-robust Bayesian multipitch analyzer based on psychoacoustical and musical criteria","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2083592569","doi":"https://doi.org/10.1109/icassp.2013.6637642","mag":"2083592569"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6637642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6637642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5002917965","display_name":"Daichi Sakaue","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daichi Sakaue","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Japan","[Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan]"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"[Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan]","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005813383","display_name":"Takuma Otsuka","orcid":"https://orcid.org/0000-0001-7585-8202"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuma Otsuka","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Japan","[Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan]"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"[Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan]","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003325000","display_name":"Katsutoshi Itoyama","orcid":"https://orcid.org/0000-0002-7098-3896"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsutoshi Itoyama","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Japan","[Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan]"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"[Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan]","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005141184","display_name":"Hiroshi G. Okuno","orcid":"https://orcid.org/0000-0002-8704-4318"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi G. Okuno","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Japan","[Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan]"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"[Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan]","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002917965"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14984145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"226","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9977999925613403,"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":0.9977999925613403,"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":0.996999979019165,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9944999814033508,"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/hyperparameter","display_name":"Hyperparameter","score":0.9090081453323364},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.8092265129089355},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.7180637717247009},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7075077295303345},{"id":"https://openalex.org/keywords/conjugate-prior","display_name":"Conjugate prior","score":0.6793451309204102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6268213391304016},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5370480418205261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4573184847831726},{"id":"https://openalex.org/keywords/harmonic","display_name":"Harmonic","score":0.4237421154975891},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3630671501159668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35290515422821045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33015498518943787},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.0918099582195282}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.9090081453323364},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8092265129089355},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.7180637717247009},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7075077295303345},{"id":"https://openalex.org/C26004113","wikidata":"https://www.wikidata.org/wiki/Q3711784","display_name":"Conjugate prior","level":4,"score":0.6793451309204102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6268213391304016},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5370480418205261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4573184847831726},{"id":"https://openalex.org/C127934551","wikidata":"https://www.wikidata.org/wiki/Q1148098","display_name":"Harmonic","level":2,"score":0.4237421154975891},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3630671501159668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35290515422821045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33015498518943787},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0918099582195282},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.1109/icassp.2013.6637642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6637642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.648.5602","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.648.5602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://winnie.kuis.kyoto-u.ac.jp/members/okuno/Public/ICASSP-2013-Sakaue.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1494502909","https://openalex.org/W1519655822","https://openalex.org/W1970370090","https://openalex.org/W1981374696","https://openalex.org/W1994683528","https://openalex.org/W2023800933","https://openalex.org/W2051586096","https://openalex.org/W2072183986","https://openalex.org/W2096482524","https://openalex.org/W2100989275","https://openalex.org/W2101336650","https://openalex.org/W2101477847","https://openalex.org/W2110007838","https://openalex.org/W2123991323","https://openalex.org/W2125722442","https://openalex.org/W2148899569","https://openalex.org/W2149095746","https://openalex.org/W2153504150","https://openalex.org/W2155364762","https://openalex.org/W2160499613","https://openalex.org/W2296659092","https://openalex.org/W2396406079","https://openalex.org/W2400942170","https://openalex.org/W2402728815","https://openalex.org/W6631117800","https://openalex.org/W6675444074","https://openalex.org/W6697055233","https://openalex.org/W6711880572","https://openalex.org/W6712418219","https://openalex.org/W6712892045"],"related_works":["https://openalex.org/W2476449081","https://openalex.org/W4298870584","https://openalex.org/W2734174941","https://openalex.org/W4298441262","https://openalex.org/W4306291977","https://openalex.org/W2950950409","https://openalex.org/W2232589144","https://openalex.org/W2072169887","https://openalex.org/W2404382874","https://openalex.org/W2905505054"],"abstract_inverted_index":{"We":[0,65],"present":[1],"a":[2,10,21,44,48,55,93],"new":[3,22],"Bayesian":[4],"multipitch":[5],"analyzer":[6],"that":[7,39,58],"dispenses":[8],"with":[9,98],"precise":[11],"optimization":[12],"of":[13,24,35,43,69],"parameter":[14],"initialization":[15,97],"or":[16],"hyperparameters.":[17],"Our":[18],"method":[19],"uses":[20],"family":[23],"prior":[25,46],"distribution,":[26],"characteristic":[27,49,67],"prior;":[28],"it":[29],"efficiently":[30],"restricts":[31],"the":[32,36,41],"existence":[33],"region":[34],"latent":[37],"variables,":[38],"is,":[40],"product":[42],"conjugate":[45],"and":[47,75,78],"function.":[50],"The":[51],"update":[52],"formulas":[53],"become":[54],"simple":[56],"form":[57],"is":[59],"actually":[60],"suitable":[61],"for":[62],"Gibbs":[63],"sampling.":[64],"construct":[66],"priors":[68],"harmonic":[70,83],"structures":[71],"based":[72],"on":[73],"psychoacoustical":[74],"musical":[76],"knowledge":[77],"apply":[79],"them":[80],"to":[81],"nonnegative":[82],"factorization.":[84],"Experimental":[85],"results":[86],"improve":[87],"5.2":[88],"points":[89],"in":[90],"F-measure":[91],"under":[92],"tough":[94],"condition,":[95],"random":[96],"no":[99],"hyperparameter":[100],"optimization.":[101]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}