{"id":"https://openalex.org/W1987503531","doi":"https://doi.org/10.1145/2461466.2461534","title":"Toward segmentation of popular music","display_name":"Toward segmentation of popular music","publication_year":2013,"publication_date":"2013-04-16","ids":{"openalex":"https://openalex.org/W1987503531","doi":"https://doi.org/10.1145/2461466.2461534","mag":"1987503531"},"language":"en","primary_location":{"id":"doi:10.1145/2461466.2461534","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2461466.2461534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM conference on International conference on multimedia retrieval","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/A5101459077","display_name":"Yunsheng Wang","orcid":"https://orcid.org/0009-0002-6832-9518"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yun-Sheng Wang","raw_affiliation_strings":["George Mason University, Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101459077"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":0.3192,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54732342,"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":"345","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9991000294685364,"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":0.9991000294685364,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9763000011444092,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7206637859344482},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6318678855895996},{"id":"https://openalex.org/keywords/chord","display_name":"Chord (peer-to-peer)","score":0.5796809196472168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5467265844345093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5402481555938721},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5066974759101868},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4297518730163574},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41676536202430725},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.39857470989227295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206637859344482},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6318678855895996},{"id":"https://openalex.org/C194147245","wikidata":"https://www.wikidata.org/wiki/Q1076368","display_name":"Chord (peer-to-peer)","level":2,"score":0.5796809196472168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5467265844345093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5402481555938721},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5066974759101868},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4297518730163574},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41676536202430725},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.39857470989227295},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2461466.2461534","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2461466.2461534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM conference on International conference on multimedia retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.47999998927116394,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W300721812","https://openalex.org/W413266190","https://openalex.org/W591222336","https://openalex.org/W774637286","https://openalex.org/W1503560067","https://openalex.org/W1540613698","https://openalex.org/W1549135121","https://openalex.org/W2008765103","https://openalex.org/W2059705361","https://openalex.org/W2095514769","https://openalex.org/W2098437240","https://openalex.org/W2111007352","https://openalex.org/W2120636621","https://openalex.org/W2121755799","https://openalex.org/W2137702884","https://openalex.org/W2149317513","https://openalex.org/W2294376557","https://openalex.org/W4388218149","https://openalex.org/W6665074615","https://openalex.org/W6678007500"],"related_works":["https://openalex.org/W229552792","https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2351864507","https://openalex.org/W3215212221","https://openalex.org/W3159818711","https://openalex.org/W2025614924","https://openalex.org/W2070360846","https://openalex.org/W1974738623","https://openalex.org/W2077021924"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"my":[3],"dissertation":[4],"framework":[5,120],"to":[6,27,55,87,97,125],"extract":[7,36,56],"local":[8,40,75,81],"keys,":[9,108,146],"chords,":[10,63,84,147],"and":[11,50,83,110,148],"segment":[12],"popular":[13],"music":[14],"from":[15,42,104],"audio":[16],"signals;":[17],"all":[18],"unsupervised.":[19],"Music":[20],"signals":[21],"are":[22,85],"denoised":[23],"using":[24,45],"wavelet":[25],"transform":[26,65],"obtain":[28],"a":[29,37,57,71,113,122,141],"smoother":[30],"approximation":[31],"for":[32,115],"chroma":[33],"extraction.":[34],"We":[35,95],"bag":[38,67],"of":[39,60,68,74,101,107,121,145],"keys":[41,69,82],"the":[43,52,66,99,102,105,119,130,133],"chromagram":[44],"an":[46],"infinite":[47],"Gaussian":[48],"mixture":[49],"use":[51],"key":[53],"information":[54],"time":[58,79],"series":[59],"chords.":[61],"Using":[62],"we":[64],"into":[70],"timed":[72],"sequence":[73,135],"keys.":[76],"The":[77],"two":[78],"series,":[80],"used":[86],"construct":[88],"multi-dimensioned":[89],"\"harmonic":[90],"rhythm\"":[91],"as":[92,112],"segmentation":[93,127],"cues.":[94],"propose":[96],"calculate":[98],"strangeness":[100],"cues":[103],"perspective":[106],"speed,":[109],"dependence":[111],"basis":[114],"change":[116],"detection":[117],"in":[118,140],"martingale-based":[123],"algorithm":[124],"find":[126],"boundaries.":[128],"Given":[129],"structural":[131],"information,":[132],"chord":[134],"can":[136],"be":[137],"further":[138],"improved":[139],"refinement":[142],"loop":[143],"consisting":[144],"segmentations.":[149]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
