{"id":"https://openalex.org/W2891132093","doi":"https://doi.org/10.1142/s1793351x18400147","title":"Assessment of Percussive Music Performances with Feature Learning","display_name":"Assessment of Percussive Music Performances with Feature Learning","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2891132093","doi":"https://doi.org/10.1142/s1793351x18400147","mag":"2891132093"},"language":"en","primary_location":{"id":"doi:10.1142/s1793351x18400147","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x18400147","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-351X","issn":["1793-351X","1793-7108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-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/A5055058138","display_name":"Chih-Wei Wu","orcid":"https://orcid.org/0000-0002-9019-6515"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chih-Wei Wu","raw_affiliation_strings":["Center for Music Technology, Georgia Institute of Technology, 840 McMillan St, Atlanta, GA 30332, USA"],"affiliations":[{"raw_affiliation_string":"Center for Music Technology, Georgia Institute of Technology, 840 McMillan St, Atlanta, GA 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048454242","display_name":"Alexander Lerch","orcid":"https://orcid.org/0000-0001-6319-578X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Lerch","raw_affiliation_strings":["Center for Music Technology, Georgia Institute of Technology, 840 McMillan St, Atlanta, GA 30332, USA"],"affiliations":[{"raw_affiliation_string":"Center for Music Technology, Georgia Institute of Technology, 840 McMillan St, Atlanta, GA 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055058138"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.6606,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69389379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"12","issue":"03","first_page":"315","last_page":"333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8547520637512207},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6875752806663513},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6330126523971558},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5592985153198242},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5453476905822754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.542169988155365},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5241901278495789},{"id":"https://openalex.org/keywords/music-information-retrieval","display_name":"Music information retrieval","score":0.515130877494812},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.457765132188797},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.45402035117149353},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4373153746128082},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43229204416275024},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3453049063682556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0668070912361145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8547520637512207},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6875752806663513},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6330126523971558},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5592985153198242},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5453476905822754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.542169988155365},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5241901278495789},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.515130877494812},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.457765132188797},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.45402035117149353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4373153746128082},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43229204416275024},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3453049063682556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0668070912361145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793351x18400147","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x18400147","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-351X","issn":["1793-351X","1793-7108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4","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/W984092480","https://openalex.org/W995630646","https://openalex.org/W1485555192","https://openalex.org/W1991200377","https://openalex.org/W1995212433","https://openalex.org/W1999949665","https://openalex.org/W2042283011","https://openalex.org/W2043463110","https://openalex.org/W2063978378","https://openalex.org/W2105143211","https://openalex.org/W2133824856","https://openalex.org/W2139686198","https://openalex.org/W2148154194","https://openalex.org/W2153635508","https://openalex.org/W2404109499","https://openalex.org/W2415529367","https://openalex.org/W2528063314","https://openalex.org/W2796695613","https://openalex.org/W2973414692","https://openalex.org/W4256689234"],"related_works":["https://openalex.org/W4281760909","https://openalex.org/W2546942002","https://openalex.org/W3087493185","https://openalex.org/W4225713191","https://openalex.org/W2965871844","https://openalex.org/W2944985007","https://openalex.org/W4206762304","https://openalex.org/W4309430181","https://openalex.org/W1876460402","https://openalex.org/W4280571605"],"abstract_inverted_index":{"The":[0,121,136],"automatic":[1,149],"assessment":[2,150],"of":[3,10,17,38,72,84,92,109,117,128,131,142,148,151],"(student)":[4],"music":[5,152],"performance":[6,40],"involves":[7],"the":[8,11,15,30,56,70,107,115,118,139,146],"characterization":[9],"audio":[12],"recordings":[13,130],"and":[14,44,95],"modeling":[16],"human":[18],"judgments.":[19],"To":[20],"build":[21],"a":[22,27,39,87,90,96,126],"computational":[23],"model":[24],"that":[25],"provides":[26],"reliable":[28],"assessment,":[29],"system":[31],"must":[32],"take":[33],"into":[34],"account":[35],"various":[36],"aspects":[37],"including":[41],"technical":[42],"correctness":[43],"aesthetic":[45],"standards.":[46],"While":[47],"some":[48],"progress":[49],"has":[50],"been":[51],"made":[52],"in":[53,145],"recent":[54],"years,":[55],"search":[57],"for":[58],"an":[59],"effective":[60],"feature":[61,97,143],"representation":[62],"remains":[63],"open-ended.":[64],"In":[65,103],"this":[66],"study,":[67],"we":[68,80,105],"explore":[69],"possibility":[71],"using":[73],"learned":[74,99,119],"features":[75],"from":[76],"sparse":[77,101],"coding.":[78,102],"Specifically,":[79],"investigate":[81],"three":[82],"sets":[83],"features,":[85,94],"namely":[86],"baseline":[88],"set,":[89],"set":[91,98],"designed":[93],"with":[100],"addition,":[104],"compare":[106],"impact":[108],"two":[110],"different":[111],"input":[112],"representations":[113],"on":[114,125],"effectiveness":[116],"features.":[120],"evaluation":[122],"is":[123],"performed":[124],"dataset":[127],"annotated":[129],"students":[132],"playing":[133],"snare":[134],"exercises.":[135],"results":[137],"imply":[138],"general":[140],"viability":[141],"learning":[144],"context":[147],"performances.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
