{"id":"https://openalex.org/W2977593013","doi":"https://doi.org/10.1109/ijcnn.2019.8851950","title":"A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor","display_name":"A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977593013","doi":"https://doi.org/10.1109/ijcnn.2019.8851950","mag":"2977593013"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5103124363","display_name":"Sheng Di","orcid":"https://orcid.org/0000-0002-9935-5674"},"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":"Di Sheng","raw_affiliation_strings":["Center for Digital Music, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Center for Digital Music, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032485940","display_name":"Gy\u00f6rgy 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":"Gyorgy Fazekas","raw_affiliation_strings":["Center for Digital Music, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Center for Digital Music, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103124363"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":2.1704,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.88593341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"8"},"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":0.9997000098228455,"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":0.9991000294685364,"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":0.7779515981674194},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.697417140007019},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6856956481933594},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6407306790351868},{"id":"https://openalex.org/keywords/dynamic-range-compression","display_name":"Dynamic range compression","score":0.6352798938751221},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.5402550101280212},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.528652012348175},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5042327642440796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.450018048286438},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.43479663133621216},{"id":"https://openalex.org/keywords/broadcasting","display_name":"Broadcasting (networking)","score":0.43014010787010193},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4135812520980835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3496997356414795},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.2526841461658478},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12840789556503296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7779515981674194},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.697417140007019},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6856956481933594},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6407306790351868},{"id":"https://openalex.org/C150178126","wikidata":"https://www.wikidata.org/wiki/Q18433212","display_name":"Dynamic range compression","level":2,"score":0.6352798938751221},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.5402550101280212},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.528652012348175},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5042327642440796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.450018048286438},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.43479663133621216},{"id":"https://openalex.org/C110157686","wikidata":"https://www.wikidata.org/wiki/Q922122","display_name":"Broadcasting (networking)","level":2,"score":0.43014010787010193},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4135812520980835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3496997356414795},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.2526841461658478},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12840789556503296},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1503880575","https://openalex.org/W1545662716","https://openalex.org/W2042390666","https://openalex.org/W2059652044","https://openalex.org/W2163605009","https://openalex.org/W2168249605","https://openalex.org/W2194775991","https://openalex.org/W2242773987","https://openalex.org/W2296724634","https://openalex.org/W2340134902","https://openalex.org/W2404620398","https://openalex.org/W2405683591","https://openalex.org/W2414894569","https://openalex.org/W2419603965","https://openalex.org/W2467281799","https://openalex.org/W2547841518","https://openalex.org/W2593179621","https://openalex.org/W2602489101","https://openalex.org/W2604509013","https://openalex.org/W2605641710","https://openalex.org/W2754165686","https://openalex.org/W2767858146","https://openalex.org/W2799388264","https://openalex.org/W2799768828","https://openalex.org/W2890021934","https://openalex.org/W2901447404","https://openalex.org/W2962813390","https://openalex.org/W2963517948","https://openalex.org/W2972162845","https://openalex.org/W3091905774","https://openalex.org/W6600284362","https://openalex.org/W6630299729","https://openalex.org/W6684191040","https://openalex.org/W6690394000","https://openalex.org/W6697040288","https://openalex.org/W6704025895","https://openalex.org/W6712946787","https://openalex.org/W6713425517","https://openalex.org/W6715395060","https://openalex.org/W6716956115","https://openalex.org/W6734751391","https://openalex.org/W6736333047","https://openalex.org/W6745878906","https://openalex.org/W6756166025","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W2898469868","https://openalex.org/W4300506728","https://openalex.org/W1603707213","https://openalex.org/W4221149301","https://openalex.org/W2152456075","https://openalex.org/W2064800047","https://openalex.org/W161326699","https://openalex.org/W2793211626","https://openalex.org/W2514468213","https://openalex.org/W1987146458"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,34,112,127],"siamese":[4,54],"DNN":[5,55,98],"model":[6,107],"is":[7,108,117,126],"proposed":[8,58,85],"to":[9,30,59,69,110],"learn":[10,60],"the":[11,14,32,43,92,95],"characteristics":[12],"of":[13,45,91,97,119],"audio":[15,28,38,142,151],"dynamic":[16,70],"range":[17,71],"compressor":[18],"(DRC).":[19],"This":[20],"facilitates":[21],"an":[22],"intelligent":[23],"control":[24],"system":[25],"that":[26,63,116],"uses":[27],"examples":[29],"configure":[31],"DRC,":[33],"widely":[35],"used":[36],"nonlinear":[37],"signal":[39],"conditioning":[40],"technique":[41],"in":[42,86],"areas":[44],"music":[46,155],"production,":[47],"speech":[48],"communication":[49],"and":[50,99,153],"broadcasting.":[51],"Several":[52],"alternative":[53],"architectures":[56],"are":[57,75,102],"feature":[61,114,135],"embeddings":[62],"can":[64],"characterise":[65],"subtle":[66],"effects":[67],"due":[68],"compression.":[72],"These":[73],"models":[74],"compared":[76],"with":[77],"each":[78],"other":[79],"as":[80,82],"well":[81],"handcrafted":[83,141],"features":[84,143],"previous":[87,132],"work.":[88],"The":[89,105,134],"evaluation":[90],"relations":[93],"between":[94],"hyperparameters":[96],"DRC":[100,122,146],"parameters":[101,123,147],"also":[103],"provided.":[104],"best":[106],"able":[109],"produce":[111],"universal":[113],"embedding":[115,136],"capable":[118],"predicting":[120,145],"multiple":[121],"simultaneously,":[124],"which":[125],"significant":[128],"improvement":[129],"from":[130],"our":[131],"research.":[133],"shows":[137],"better":[138],"performance":[139],"than":[140],"when":[144],"for":[148],"both":[149],"mono-instrument":[150],"loops":[152],"polyphonic":[154],"pieces.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
