{"id":"https://openalex.org/W4386763928","doi":"https://doi.org/10.1109/waspaa58266.2023.10248157","title":"General Purpose Audio Effect Removal","display_name":"General Purpose Audio Effect Removal","publication_year":2023,"publication_date":"2023-09-15","ids":{"openalex":"https://openalex.org/W4386763928","doi":"https://doi.org/10.1109/waspaa58266.2023.10248157"},"language":"en","primary_location":{"id":"doi:10.1109/waspaa58266.2023.10248157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa58266.2023.10248157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","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/A5109638627","display_name":"Matthew Rice","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Matthew Rice","raw_affiliation_strings":["Queen Mary University of London,Centre for Digital Music,UK","Centre for Digital Music, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,Centre for Digital Music,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032881514","display_name":"Christian J. Steinmetz","orcid":"https://orcid.org/0000-0002-0971-5729"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christian J. Steinmetz","raw_affiliation_strings":["Queen Mary University of London,Centre for Digital Music,UK","Centre for Digital Music, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,Centre for Digital Music,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114079109","display_name":"George Fazekas","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"George Fazekas","raw_affiliation_strings":["Queen Mary University of London,Centre for Digital Music,UK","Centre for Digital Music, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,Centre for Digital Music,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111403298","display_name":"Joshua D. Reiss","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joshua D. Reiss","raw_affiliation_strings":["Queen Mary University of London,Centre for Digital Music,UK","Centre for Digital Music, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,Centre for Digital Music,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109638627"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.7686,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71049539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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":0.996999979019165,"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/computer-science","display_name":"Computer science","score":0.8268624544143677},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6715847849845886},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5895511507987976},{"id":"https://openalex.org/keywords/principle-of-compositionality","display_name":"Principle of compositionality","score":0.5636137127876282},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5257076621055603},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5163008570671082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4900552034378052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4745902717113495},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4439123272895813},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3942936658859253},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3551071882247925},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15184199810028076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8268624544143677},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6715847849845886},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5895511507987976},{"id":"https://openalex.org/C121375916","wikidata":"https://www.wikidata.org/wiki/Q936559","display_name":"Principle of compositionality","level":2,"score":0.5636137127876282},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5257076621055603},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5163008570671082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4900552034378052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4745902717113495},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4439123272895813},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3942936658859253},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3551071882247925},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15184199810028076},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/waspaa58266.2023.10248157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa58266.2023.10248157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1539749833","https://openalex.org/W2127836593","https://openalex.org/W2164349977","https://openalex.org/W2188162373","https://openalex.org/W2403874381","https://openalex.org/W2902076983","https://openalex.org/W2903032817","https://openalex.org/W2916985722","https://openalex.org/W2949756029","https://openalex.org/W2963103134","https://openalex.org/W2972411915","https://openalex.org/W3001643781","https://openalex.org/W3015338123","https://openalex.org/W3036601975","https://openalex.org/W3043119899","https://openalex.org/W3094550259","https://openalex.org/W3096159803","https://openalex.org/W3096893582","https://openalex.org/W3112256825","https://openalex.org/W3162181948","https://openalex.org/W3173965396","https://openalex.org/W3182954816","https://openalex.org/W4221167052","https://openalex.org/W4226300471","https://openalex.org/W4232351785","https://openalex.org/W4281820413","https://openalex.org/W4284898017","https://openalex.org/W4287329493","https://openalex.org/W4293169095","https://openalex.org/W4295882740","https://openalex.org/W4307977691","https://openalex.org/W4318719024","https://openalex.org/W4372260037","https://openalex.org/W4372263680","https://openalex.org/W4372341905","https://openalex.org/W6632062613","https://openalex.org/W6686978693","https://openalex.org/W6712990308","https://openalex.org/W6756341328","https://openalex.org/W6757202746","https://openalex.org/W6757632829","https://openalex.org/W6769767169","https://openalex.org/W6780218876","https://openalex.org/W6795245927","https://openalex.org/W6798326965","https://openalex.org/W6840348479","https://openalex.org/W6842856065"],"related_works":["https://openalex.org/W4251923961","https://openalex.org/W1526190050","https://openalex.org/W2477397717","https://openalex.org/W2500457737","https://openalex.org/W4287025733","https://openalex.org/W4317425742","https://openalex.org/W2010490241","https://openalex.org/W3192500523","https://openalex.org/W4241382148","https://openalex.org/W2097744609"],"abstract_inverted_index":{"Although":[0],"the":[1,11,133,144],"design":[2],"and":[3,22,96,101,120,149],"application":[4],"of":[5,14,105,135,143,162],"audio":[6,33,78,90,153],"effects":[7,17,58,91,180],"is":[8,18],"well":[9],"understood,":[10],"inverse":[12],"problem":[13],"removing":[15],"these":[16],"significantly":[19],"more":[20,68],"challenging":[21],"far":[23],"less":[24],"studied.":[25],"Recently,":[26],"deep":[27],"learning":[28],"has":[29],"been":[30],"applied":[31,60,136],"to":[32,74,99,131,157,171],"effect":[34,47,79,118,154],"removal;":[35],"however,":[36],"existing":[37,106],"approaches":[38],"have":[39],"focused":[40],"on":[41,116],"narrow":[42],"formulations":[43],"considering":[44],"only":[45],"one":[46],"or":[48],"source":[49,63],"type":[50],"at":[51,165],"a":[52,67,83,103,141,160],"time.":[53],"In":[54],"realistic":[55],"scenarios,":[56],"multiple":[57],"are":[59],"with":[61,178],"varying":[62],"content.":[64],"This":[65],"motivates":[66],"general":[69,76],"task,":[70],"which":[71],"we":[72,125],"refer":[73],"as":[75],"purpose":[77],"removal.":[80],"We":[81,108,138,167],"developed":[82],"dataset":[84],"for":[85],"this":[86],"task":[87],"using":[88],"five":[89],"across":[92],"four":[93],"different":[94],"sources":[95],"used":[97],"it":[98],"train":[100],"evaluate":[102],"set":[104,142],"architectures.":[107],"found":[109,168],"that":[110],"no":[111],"single":[112,173],"model":[113,156,174],"performed":[114],"optimally":[115],"all":[117],"types":[119],"sources.":[121],"To":[122],"address":[123],"this,":[124],"introduced":[126],"RemFX,":[127],"an":[128,152],"approach":[129,170],"designed":[130],"mirror":[132],"compositionality":[134],"effects.":[137],"first":[139],"trained":[140],"best-performing":[145],"effect-specific":[146],"removal":[147],"models":[148,164],"then":[150],"leveraged":[151],"classification":[155],"dynamically":[158],"construct":[159],"graph":[161],"our":[163,169],"inference.":[166],"outperform":[172],"baselines,":[175],"although":[176],"examples":[177],"many":[179],"present":[181],"remain":[182],"challenging.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}