{"id":"https://openalex.org/W2402051582","doi":"https://doi.org/10.1109/icassp.2016.7471678","title":"Triple-based analysis of music alignments without the need of ground-truth annotations","display_name":"Triple-based analysis of music alignments without the need of ground-truth annotations","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2402051582","doi":"https://doi.org/10.1109/icassp.2016.7471678","mag":"2402051582"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7471678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5046593116","display_name":"Thomas Pr\u00e4tzlich","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":true,"raw_author_name":"Thomas Pratzlich","raw_affiliation_strings":["International Audio Laboratories Erlangen"],"affiliations":[{"raw_affiliation_string":"International Audio Laboratories Erlangen","institution_ids":["https://openalex.org/I4210123192"]}]},{"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/A5046593116"],"corresponding_institution_ids":["https://openalex.org/I4210123192"],"apc_list":null,"apc_paid":null,"fwci":0.4762221,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64609933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"266","last_page":"270"},"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9987000226974487,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.8967597484588623},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.8584247827529907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7213931083679199},{"id":"https://openalex.org/keywords/common-ground","display_name":"Common ground","score":0.5794301629066467},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.4638656973838806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4331987500190735},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3363465964794159},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33337920904159546}],"concepts":[{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.8967597484588623},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8584247827529907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213931083679199},{"id":"https://openalex.org/C2777877512","wikidata":"https://www.wikidata.org/wiki/Q1116097","display_name":"Common ground","level":2,"score":0.5794301629066467},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.4638656973838806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4331987500190735},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3363465964794159},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33337920904159546},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7471678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.7200000286102295,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1506381638","https://openalex.org/W1510799621","https://openalex.org/W1549486140","https://openalex.org/W1797486849","https://openalex.org/W2030511115","https://openalex.org/W2100816929","https://openalex.org/W2142927150","https://openalex.org/W2146302296","https://openalex.org/W2150308923","https://openalex.org/W2150452896","https://openalex.org/W2293056991","https://openalex.org/W2293461728","https://openalex.org/W2407138574","https://openalex.org/W2478051194","https://openalex.org/W6632893073","https://openalex.org/W6638303826"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W4307535225","https://openalex.org/W2905544777","https://openalex.org/W2515547341","https://openalex.org/W3005560370"],"abstract_inverted_index":{"The":[0,88],"goal":[1],"of":[2,12,16,52,63,78,80,84,97,141,180,196],"music":[3,64,85],"alignment":[4,65,165,191],"methods":[5,19,192],"is":[6,35,86,91,121],"to":[7,28,92,162,176,184,188],"temporally":[8],"align":[9,93],"different":[10,53,190],"versions":[11],"the":[13,25,81,94,139,142,156,163,178,181,194],"same":[14,82],"piece":[15,83],"music.":[17],"These":[18],"are":[20],"typically":[21],"evaluated":[22],"by":[23,113,124],"comparing":[24,125],"computed":[26,123],"alignments":[27,186],"given":[29],"ground-truth":[30,71,197],"annotations.":[31,198],"Creating":[32],"such":[33],"annotations":[34,72],"usually":[36],"very":[37],"labor":[38],"intensive.":[39],"For":[40],"many":[41],"musical":[42],"pieces,":[43],"especially":[44],"in":[45,102],"classical":[46],"music,":[47],"there":[48],"exists":[49],"a":[50,76,98,103,108,173],"multitude":[51],"recordings.":[54],"In":[55,134],"this":[56,135],"work,":[57],"we":[58,137,171],"investigate":[59],"whether":[60],"an":[61],"evaluation":[62],"algorithms":[66],"can":[67],"be":[68],"performed":[69],"without":[70,193],"when":[73],"at":[74],"least":[75],"triplet":[77],"recordings":[79],"available.":[87],"main":[89],"idea":[90,140],"time":[95,127],"points":[96,128],"fixed":[99],"reference":[100],"version,":[101],"circular":[104],"way,":[105],"back":[106],"through":[107],"second":[109],"and":[110,145,149,159,187],"third":[111],"version":[112],"using":[114],"their":[115,130],"pairwise":[116,164],"alignments.":[117],"A":[118],"triple":[119,143,157,182],"error":[120,144,158,166,183],"then":[122],"these":[126],"with":[129],"circularly":[131],"aligned":[132],"version.":[133],"paper,":[136],"formalize":[138],"discuss":[146],"its":[147],"potential":[148,179],"limitations.":[150],"We":[151],"present":[152,172],"typical":[153],"examples":[154],"for":[155],"compare":[160,189],"it":[161],"based":[167],"on":[168],"ground-truth.":[169],"Furthermore,":[170],"case":[174],"study":[175],"indicate":[177],"analyze":[185],"need":[195]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}