{"id":"https://openalex.org/W2024184284","doi":"https://doi.org/10.1109/icassp.2014.6853674","title":"Exploiting global features for tempo octave correction","display_name":"Exploiting global features for tempo octave correction","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2024184284","doi":"https://doi.org/10.1109/icassp.2014.6853674","mag":"2024184284"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6853674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5082386697","display_name":"Hendrik Schreiber","orcid":"https://orcid.org/0000-0002-3033-1703"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hendrik Schreiber","raw_affiliation_strings":["tagtraum industries incorporated","Tagtraum industries incorporated"],"affiliations":[{"raw_affiliation_string":"tagtraum industries incorporated","institution_ids":[]},{"raw_affiliation_string":"Tagtraum industries incorporated","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109881851","display_name":"Meinard M\u00fcller","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123192","display_name":"International Audio Laboratories Erlangen","ror":"https://ror.org/02mkz3e80","country_code":"DE","type":"facility","lineage":["https://openalex.org/I181369854","https://openalex.org/I4210123192","https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Meinard Muller","raw_affiliation_strings":["International Audio Laboratories Erlangen"],"affiliations":[{"raw_affiliation_string":"International Audio Laboratories Erlangen","institution_ids":["https://openalex.org/I4210123192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082386697"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8817,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73890001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"639","last_page":"643"},"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":0.9972000122070312,"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":0.9894999861717224,"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/octave","display_name":"Octave (electronics)","score":0.8774518966674805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7246071100234985},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6635829210281372},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6437534689903259},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5821039080619812},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.521801233291626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43613627552986145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4321382939815521},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.4193042516708374},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4178951680660248},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4069989323616028},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2035587728023529},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.06706982851028442}],"concepts":[{"id":"https://openalex.org/C85841341","wikidata":"https://www.wikidata.org/wiki/Q1135984","display_name":"Octave (electronics)","level":2,"score":0.8774518966674805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7246071100234985},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6635829210281372},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6437534689903259},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5821039080619812},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.521801233291626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43613627552986145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4321382939815521},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.4193042516708374},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4178951680660248},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4069989323616028},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2035587728023529},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.06706982851028442},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6853674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W75292264","https://openalex.org/W87329255","https://openalex.org/W91551343","https://openalex.org/W1984059267","https://openalex.org/W2003559861","https://openalex.org/W2010297303","https://openalex.org/W2031396843","https://openalex.org/W2049321404","https://openalex.org/W2067063915","https://openalex.org/W2096623359","https://openalex.org/W2106375419","https://openalex.org/W2117330939","https://openalex.org/W2120132744","https://openalex.org/W2126264921","https://openalex.org/W2129338995","https://openalex.org/W2133824856","https://openalex.org/W2133990480","https://openalex.org/W2135563421","https://openalex.org/W2140304104","https://openalex.org/W2167455298","https://openalex.org/W2168249484","https://openalex.org/W2214015592","https://openalex.org/W2292985255","https://openalex.org/W2294711064","https://openalex.org/W2408751413","https://openalex.org/W3217467030","https://openalex.org/W6603575429","https://openalex.org/W6603756811","https://openalex.org/W6674259615","https://openalex.org/W6680219554","https://openalex.org/W6688409506","https://openalex.org/W6697085599","https://openalex.org/W6697085921","https://openalex.org/W6714403382"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2381242807","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312"],"abstract_inverted_index":{"Tempo":[0],"estimation":[1,47,96],"is":[2,87,99],"a":[3,19,56,67,71,110],"fundamental":[4],"problem":[5],"in":[6],"music":[7],"information":[8],"retrieval.":[9],"Most":[10],"approaches":[11],"attempt":[12],"to":[13],"solve":[14],"two":[15],"problems:":[16],"first":[17],"finding":[18],"dominant":[20],"pulse":[21,58],"and":[22,78,98],"second":[23],"correcting":[24],"the":[25,38,103],"metrical":[26],"level":[27],"of":[28,81],"this":[29],"pulse.":[30],"The":[31,84],"latter":[32],"has":[33],"also":[34],"been":[35],"dubbed":[36],"fixing":[37],"octave":[39,62],"error.":[40],"We":[41],"propose":[42],"an":[43],"algorithm":[44],"for":[45,61],"tempo":[46,95,117],"that":[48,109],"addresses":[49],"both":[50],"problems":[51],"mostly":[52],"independently.":[53],"While":[54],"using":[55],"standard":[57],"detection":[59],"technique,":[60],"error":[63],"correction,":[64],"we":[65],"exploit":[66],"simple":[68],"relationship":[69],"between":[70],"single":[72],"global":[73,111],"feature,":[74],"average":[75],"spectral":[76],"novelty,":[77],"listener":[79],"perception":[80],"musical":[82],"tempo.":[83],"proposed":[85],"method":[86],"extremely":[88],"simple.":[89],"Nevertheless,":[90],"it":[91],"outperforms":[92],"most":[93],"existing":[94],"methods":[97],"on":[100],"par":[101],"with":[102],"best-performing":[104],"ones.":[105],"It":[106],"thus":[107],"exemplifies":[108],"feature-based":[112],"approach":[113],"can":[114],"significantly":[115],"improve":[116],"estimation.":[118]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
