{"id":"https://openalex.org/W3102195007","doi":"https://doi.org/10.1109/jstsp.2020.3037485","title":"On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks","display_name":"On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks","publication_year":2020,"publication_date":"2020-11-12","ids":{"openalex":"https://openalex.org/W3102195007","doi":"https://doi.org/10.1109/jstsp.2020.3037485","mag":"3102195007"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2020.3037485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.3037485","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.07274","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086760799","display_name":"Serkan Sulun","orcid":"https://orcid.org/0000-0003-1365-1884"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Serkan Sulun","raw_affiliation_strings":["Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal"],"affiliations":[{"raw_affiliation_string":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033390365","display_name":"Matthew E. P. Davies","orcid":"https://orcid.org/0000-0002-1315-3992"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Matthew E. P. Davies","raw_affiliation_strings":["University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086760799"],"corresponding_institution_ids":["https://openalex.org/I4210166615"],"apc_list":null,"apc_paid":null,"fwci":2.4347,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.89934853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":"1","first_page":"132","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech 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/T10860","display_name":"Speech 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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bandwidth-extension","display_name":"Bandwidth extension","score":0.8535211682319641},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7671441435813904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7597560286521912},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.7285088300704956},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5607084035873413},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5550256967544556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5154476761817932},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47349342703819275},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45257773995399475},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4131830036640167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36946481466293335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3211299777030945},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.280126690864563},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2164548635482788},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1948835551738739},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1348225176334381},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.1144169270992279}],"concepts":[{"id":"https://openalex.org/C9387945","wikidata":"https://www.wikidata.org/wiki/Q4854770","display_name":"Bandwidth extension","level":4,"score":0.8535211682319641},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7671441435813904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7597560286521912},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.7285088300704956},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5607084035873413},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5550256967544556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5154476761817932},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47349342703819275},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45257773995399475},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4131830036640167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36946481466293335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3211299777030945},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.280126690864563},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2164548635482788},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1948835551738739},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1348225176334381},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.1144169270992279},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstsp.2020.3037485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.3037485","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2011.07274","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.07274","pdf_url":"https://arxiv.org/pdf/2011.07274","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2011.07274","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.07274","pdf_url":"https://arxiv.org/pdf/2011.07274","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W26348862","https://openalex.org/W97829328","https://openalex.org/W99802290","https://openalex.org/W171863622","https://openalex.org/W174240390","https://openalex.org/W1517841224","https://openalex.org/W1522301498","https://openalex.org/W1552314771","https://openalex.org/W1591013319","https://openalex.org/W1607435270","https://openalex.org/W1836465849","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1971868317","https://openalex.org/W2034562896","https://openalex.org/W2095705004","https://openalex.org/W2099471712","https://openalex.org/W2100285470","https://openalex.org/W2135567392","https://openalex.org/W2140188101","https://openalex.org/W2147152002","https://openalex.org/W2147585306","https://openalex.org/W2151667147","https://openalex.org/W2162743322","https://openalex.org/W2168230675","https://openalex.org/W2194775991","https://openalex.org/W2296153915","https://openalex.org/W2398243923","https://openalex.org/W2399742709","https://openalex.org/W2400830530","https://openalex.org/W2476548250","https://openalex.org/W2526050071","https://openalex.org/W2616030108","https://openalex.org/W2739815012","https://openalex.org/W2752098086","https://openalex.org/W2774707525","https://openalex.org/W2778340325","https://openalex.org/W2786015036","https://openalex.org/W2802034954","https://openalex.org/W2883566908","https://openalex.org/W2891653845","https://openalex.org/W2899135636","https://openalex.org/W2902132730","https://openalex.org/W2902991992","https://openalex.org/W2916985722","https://openalex.org/W2917831833","https://openalex.org/W2924508610","https://openalex.org/W2935794029","https://openalex.org/W2939253202","https://openalex.org/W2963276790","https://openalex.org/W2963372104","https://openalex.org/W2963459241","https://openalex.org/W2963952344","https://openalex.org/W2964101377","https://openalex.org/W2964121744","https://openalex.org/W2964137095","https://openalex.org/W2970971581","https://openalex.org/W2972478942","https://openalex.org/W2977841542","https://openalex.org/W2982339091","https://openalex.org/W3011573174","https://openalex.org/W3016022729","https://openalex.org/W3047154545","https://openalex.org/W3097934054","https://openalex.org/W3186913836","https://openalex.org/W4288087796","https://openalex.org/W4289242435","https://openalex.org/W4295312788","https://openalex.org/W4320013936","https://openalex.org/W6603899244","https://openalex.org/W6604083050","https://openalex.org/W6606904575","https://openalex.org/W6607145005","https://openalex.org/W6631190155","https://openalex.org/W6636170946","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6681996158","https://openalex.org/W6682013673","https://openalex.org/W6712300757","https://openalex.org/W6712594816","https://openalex.org/W6713030564","https://openalex.org/W6741681139","https://openalex.org/W6746914816","https://openalex.org/W6747336215","https://openalex.org/W6748348399","https://openalex.org/W6756251360","https://openalex.org/W6756605901","https://openalex.org/W6759212570","https://openalex.org/W6760993068","https://openalex.org/W6766978945","https://openalex.org/W6769870462","https://openalex.org/W6775102986","https://openalex.org/W6781197932"],"related_works":["https://openalex.org/W3099765033","https://openalex.org/W4319862422","https://openalex.org/W1971598839","https://openalex.org/W2133828239","https://openalex.org/W3207737697","https://openalex.org/W2017964352","https://openalex.org/W3144767625","https://openalex.org/W2097303478","https://openalex.org/W2900695998","https://openalex.org/W2056058148"],"abstract_inverted_index":{"In":[0],"this":[1,126],"paper,":[2],"we":[3,77,132],"address":[4],"a":[5,30,45,117,134],"subtopic":[6],"of":[7,11,43,55,58,93],"the":[8,21,38,41,53,56,66,81,106,121],"broad":[9],"domain":[10],"audio":[12,16],"enhancement,":[13],"namely":[14],"musical":[15],"bandwidth":[17,22],"extension.":[18],"We":[19],"formulate":[20],"extension":[23],"problem":[24],"using":[25],"deep":[26,72],"neural":[27],"networks,":[28],"where":[29],"band-limited":[31,122],"signal":[32],"is":[33],"provided":[34],"as":[35],"input":[36],"to":[37,95,129,147,150],"network,":[39],"with":[40],"goal":[42],"reconstructing":[44],"full-bandwidth":[46],"output.":[47],"Our":[48],"main":[49],"contribution":[50],"centers":[51],"on":[52],"impact":[54],"choice":[57],"low-pass":[59,141],"filter":[60,130],"when":[61,80,102],"training":[62,82,113,144],"and":[63,75,83,110,145],"subsequently":[64],"testing":[65,84],"network.":[67],"For":[68],"two":[69],"different":[70],"state-of-the-art":[71],"architectures,":[73],"ResNet":[74],"U-Net,":[76],"demonstrate":[78],"that":[79],"filters":[85,104,142],"are":[86],"matched,":[87],"improvements":[88],"in":[89,116],"signal-to-noise":[90],"ratio":[91],"(SNR)":[92],"up":[94],"7":[96],"dB":[97],"can":[98],"be":[99],"obtained.":[100],"However,":[101],"these":[103],"differ,":[105],"improvement":[107],"falls":[108],"considerably":[109],"under":[111],"some":[112],"conditions":[114,153],"results":[115],"lower":[118],"SNR":[119],"than":[120],"input.":[123],"To":[124],"circumvent":[125],"apparent":[127],"overfitting":[128],"shape,":[131],"propose":[133],"data":[135],"augmentation":[136],"strategy":[137],"which":[138],"utilizes":[139],"multiple":[140],"during":[143],"leads":[146],"improved":[148],"generalization":[149],"unseen":[151],"filtering":[152],"at":[154],"test":[155],"time.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}