{"id":"https://openalex.org/W3114975468","doi":"https://doi.org/10.1109/tencon50793.2020.9293783","title":"Multi-task Learning for Detection, Recovery, and Separation of Polyphonic Music","display_name":"Multi-task Learning for Detection, Recovery, and Separation of Polyphonic Music","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3114975468","doi":"https://doi.org/10.1109/tencon50793.2020.9293783","mag":"3114975468"},"language":"en","primary_location":{"id":"doi:10.1109/tencon50793.2020.9293783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","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/A5073561308","display_name":"Vanessa Tan","orcid":"https://orcid.org/0009-0001-8174-6909"},"institutions":[{"id":"https://openalex.org/I87074743","display_name":"University of the Philippines Diliman","ror":"https://ror.org/03tbh6y23","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934","https://openalex.org/I87074743"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Vanessa Tan","raw_affiliation_strings":["Electrical and Electronics Engineering Institute, University of the Philippines Diliman"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering Institute, University of the Philippines Diliman","institution_ids":["https://openalex.org/I87074743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028150804","display_name":"Franz de Leon","orcid":null},"institutions":[{"id":"https://openalex.org/I87074743","display_name":"University of the Philippines Diliman","ror":"https://ror.org/03tbh6y23","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934","https://openalex.org/I87074743"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Franz de Leon","raw_affiliation_strings":["Electrical and Electronics Engineering Institute, University of the Philippines Diliman"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering Institute, University of the Philippines Diliman","institution_ids":["https://openalex.org/I87074743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073561308"],"corresponding_institution_ids":["https://openalex.org/I87074743"],"apc_list":null,"apc_paid":null,"fwci":0.1515,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46458196,"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":"1112","last_page":"1117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech 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/T10860","display_name":"Speech 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/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.992900013923645,"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/source-separation","display_name":"Source separation","score":0.8256093263626099},{"id":"https://openalex.org/keywords/polyphony","display_name":"Polyphony","score":0.8226292729377747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7996106147766113},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7014507055282593},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.5306716561317444},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5303146243095398},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5253167152404785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.510934054851532},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.44849491119384766},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4412567913532257},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4320065379142761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4016149342060089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35178279876708984},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.303409218788147},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.08646616339683533},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06455385684967041}],"concepts":[{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.8256093263626099},{"id":"https://openalex.org/C128979739","wikidata":"https://www.wikidata.org/wiki/Q179465","display_name":"Polyphony","level":2,"score":0.8226292729377747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996106147766113},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7014507055282593},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.5306716561317444},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5303146243095398},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5253167152404785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510934054851532},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.44849491119384766},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4412567913532257},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4320065379142761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4016149342060089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35178279876708984},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.303409218788147},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.08646616339683533},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06455385684967041},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon50793.2020.9293783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1561135842","https://openalex.org/W1594771616","https://openalex.org/W2100772705","https://openalex.org/W2127851351","https://openalex.org/W2296724634","https://openalex.org/W2540479665","https://openalex.org/W2563534197","https://openalex.org/W2587994092","https://openalex.org/W2604869594","https://openalex.org/W2774707525","https://openalex.org/W2793444752","https://openalex.org/W2798816912","https://openalex.org/W2889404825","https://openalex.org/W2962753171","https://openalex.org/W2963204961","https://openalex.org/W2963249619","https://openalex.org/W2963351448","https://openalex.org/W2963452667","https://openalex.org/W2963751183","https://openalex.org/W2963992487","https://openalex.org/W2964136284","https://openalex.org/W2964209782","https://openalex.org/W2972411915","https://openalex.org/W2999994821","https://openalex.org/W3208130991","https://openalex.org/W4293777314","https://openalex.org/W4298310324","https://openalex.org/W6633727632","https://openalex.org/W6674917984","https://openalex.org/W6697040288","https://openalex.org/W6745820840","https://openalex.org/W6745952243","https://openalex.org/W6746914816","https://openalex.org/W6749267396","https://openalex.org/W6750814348","https://openalex.org/W6751512325","https://openalex.org/W6766320909","https://openalex.org/W6802995821"],"related_works":["https://openalex.org/W2289868279","https://openalex.org/W3132176577","https://openalex.org/W4231351862","https://openalex.org/W4212794605","https://openalex.org/W2114974607","https://openalex.org/W4315836293","https://openalex.org/W4243888788","https://openalex.org/W3112881379","https://openalex.org/W2002298560","https://openalex.org/W2019256813"],"abstract_inverted_index":{"Music":[0],"separation":[1,120,166],"aims":[2],"to":[3,32,42,98,137,163],"extract":[4],"the":[5,18,83,89,95,100,104,111,119,123,129,133,139,156],"signals":[6],"of":[7,20,85,122,158],"individual":[8],"sources":[9,75,140],"from":[10],"a":[11,56,77,86],"given":[12,90],"audio":[13,105],"mixture.":[14,91],"Recent":[15],"studies":[16],"explored":[17],"use":[19],"deep":[21],"learning":[22,58,135],"algorithms":[23,29],"for":[24,47,60,132,146,165],"this":[25,52],"problem.":[26],"Although":[27],"these":[28],"have":[30,33],"proven":[31],"good":[34],"performance,":[35],"they":[36,40],"are":[37],"inefficient":[38],"as":[39],"need":[41],"learn":[43,103],"an":[44],"independent":[45],"model":[46],"each":[48,115],"sound":[49,74],"source.":[50],"In":[51],"study,":[53],"we":[54],"demonstrate":[55],"multi-task":[57,134],"system":[59,68,160],"music":[61,71],"separation,":[62],"detection,":[63],"and":[64,148,151,167],"recovery.":[65,149],"The":[66],"proposed":[67],"separates":[69],"polyphonic":[70],"into":[72],"four":[73],"using":[76],"single":[78],"model.":[79],"It":[80,125],"also":[81],"detects":[82],"presence":[84],"source":[87],"in":[88,114],"Lastly,":[92],"it":[93],"reconstructs":[94],"input":[96],"mixture":[97],"help":[99],"network":[101],"further":[102],"representation.":[106],"Our":[107],"novel":[108],"approach":[109],"exploits":[110],"shared":[112],"information":[113],"task,":[116],"thus,":[117],"improving":[118],"performance":[121,157],"system.":[124],"was":[126],"determined":[127],"that":[128,155],"best":[130],"configuration":[131],"is":[136,161],"separate":[138],"first,":[141],"followed":[142],"by":[143],"parallel":[144],"modules":[145],"classification":[147],"Quantitative":[150],"qualitative":[152],"results":[153],"show":[154],"our":[159],"comparable":[162],"baselines":[164],"classification.":[168]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}