{"id":"https://openalex.org/W4389296707","doi":"https://doi.org/10.1109/ieeeconf59510.2023.10335274","title":"A Score-aware Generative Approach for Music Signals Inpainting","display_name":"A Score-aware Generative Approach for Music Signals Inpainting","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4389296707","doi":"https://doi.org/10.1109/ieeeconf59510.2023.10335274"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf59510.2023.10335274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf59510.2023.10335274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Symposium on the Internet of Sounds","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076196838","display_name":"Carlo Aironi","orcid":"https://orcid.org/0000-0002-5754-4864"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Aironi","raw_affiliation_strings":["Università Politecnica Delle Marche,Department of Information Engineering,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Università Politecnica Delle Marche,Department of Information Engineering,Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047682990","display_name":"Samuele Cornell","orcid":"https://orcid.org/0000-0002-5358-1844"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Samuele Cornell","raw_affiliation_strings":["Università Politecnica Delle Marche,Department of Information Engineering,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Università Politecnica Delle Marche,Department of Information Engineering,Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061023296","display_name":"Leonardo Gabrielli","orcid":"https://orcid.org/0000-0002-3812-0900"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Leonardo Gabrielli","raw_affiliation_strings":["Università Politecnica Delle Marche,Department of Information Engineering,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Università Politecnica Delle Marche,Department of Information Engineering,Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034253968","display_name":"Stefano Squartini","orcid":"https://orcid.org/0000-0001-9374-0128"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Squartini","raw_affiliation_strings":["Università Politecnica Delle Marche,Department of Information Engineering,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Università Politecnica Delle Marche,Department of Information Engineering,Italy","institution_ids":["https://openalex.org/I122534668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I122534668"],"apc_list":null,"apc_paid":null,"fwci":0.9642,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78111085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9976000189781189,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9968000054359436,"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/spectrogram","display_name":"Spectrogram","score":0.8046163320541382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7767511606216431},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.5991747975349426},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5743868350982666},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.55098557472229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.542216420173645},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.508246123790741},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.44013673067092896},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.4269113540649414},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.41860127449035645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33550116419792175},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.2799997925758362},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23956161737442017},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.1353277862071991}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.8046163320541382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7767511606216431},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.5991747975349426},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5743868350982666},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.55098557472229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.542216420173645},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.508246123790741},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.44013673067092896},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.4269113540649414},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.41860127449035645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33550116419792175},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.2799997925758362},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23956161737442017},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.1353277862071991},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ieeeconf59510.2023.10335274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf59510.2023.10335274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Symposium on the Internet of Sounds","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.univpm.it:11566/325073","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10335274","pdf_url":null,"source":{"id":"https://openalex.org/S4306402571","display_name":"Universit\u00e0 Politecnica delle Marche (Universit\u00e0 Politecnica delle Marche)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122534668","host_organization_name":"Marche Polytechnic University","host_organization_lineage":["https://openalex.org/I122534668"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1561829009","https://openalex.org/W1597922189","https://openalex.org/W1901129140","https://openalex.org/W1982446897","https://openalex.org/W1991655173","https://openalex.org/W2039684597","https://openalex.org/W2076608692","https://openalex.org/W2133665775","https://openalex.org/W2152859600","https://openalex.org/W2198584637","https://openalex.org/W2296153915","https://openalex.org/W2560180317","https://openalex.org/W2888169323","https://openalex.org/W2898371500","https://openalex.org/W2950335938","https://openalex.org/W2963073614","https://openalex.org/W2970006822","https://openalex.org/W2994143516","https://openalex.org/W2999782137","https://openalex.org/W3011176162","https://openalex.org/W3012382391","https://openalex.org/W3015338123","https://openalex.org/W3024200358","https://openalex.org/W3090140450","https://openalex.org/W3095488131","https://openalex.org/W3096831136","https://openalex.org/W3097828251","https://openalex.org/W3103913581","https://openalex.org/W3105000799","https://openalex.org/W3105183525","https://openalex.org/W3207100935","https://openalex.org/W4292826157","https://openalex.org/W4310136171","https://openalex.org/W4375869026","https://openalex.org/W4388117854","https://openalex.org/W6633597934","https://openalex.org/W6635978374","https://openalex.org/W6733936739","https://openalex.org/W6755081673","https://openalex.org/W6755182157","https://openalex.org/W6755257315","https://openalex.org/W6767111847","https://openalex.org/W6770958331","https://openalex.org/W6775691539","https://openalex.org/W6777449409"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W4298074124","https://openalex.org/W3214306048","https://openalex.org/W4360764600"],"abstract_inverted_index":{"Several":[0],"issues":[1],"can":[2],"seriously":[3],"degrade":[4],"the":[5,42,55,70,102,108,132,136,143,159,171,217,224],"quality":[6],"of":[7,47,77,151,164,175,196],"digital":[8],"audio,":[9],"such":[10],"as":[11],"packet":[12],"loss":[13,112,119],"on":[14,54,131,149],"IP-based":[15],"networks":[16,50],"or":[17],"damaged":[18],"storage":[19],"media,":[20],"impacting":[21],"intelligibility":[22],"and":[23,52,126,138,153,166,173,226],"user":[24],"experience.":[25],"This":[26],"paper":[27],"presents":[28],"a":[29,97,118,127,189,199,203,209],"generative":[30,48],"approach,":[31],"aiming":[32],"to":[33,84,90,122,161,214],"repair":[34],"lost":[35,82],"fragments":[36],"in":[37,158,178,211,219],"audio":[38,94,124],"streams.":[39],"Inspired":[40],"by":[41,142,202],"well-established":[43],"image-to-image":[44],"translation":[45,71],"ability":[46],"adversarial":[49],"(GANs)":[51],"based":[53,130],"bin2bin":[56],"framework,":[57],"previously":[58],"introduced":[59],"for":[60,101],"speech":[61],"inpainting,":[62],"we":[63,169,207],"propose":[64],"an":[65],"enhanced":[66],"framework":[67,177],"which":[68,155],"performs":[69],"task":[72],"from":[73],"CQT":[74,144],"magnitude":[75],"spectrograms":[76,228],"music":[78],"signal":[79],"frames":[80],"with":[81,114,182],"regions,":[83],"reliable":[85],"spectrograms.":[86],"The":[87,104,185],"goal":[88],"is":[89],"effectively":[91],"reconstruct":[92],"missing":[93],"segments,":[95],"enabling":[96],"seamless":[98],"listening":[99],"experience":[100],"audience.":[103],"proposed":[105,186],"pipeline":[106],"combines":[107],"traditional":[109],"GAN":[110],"discriminative":[111],"function":[113,120],"two":[115],"additional":[116],"objectives:":[117],"related":[121],"perceptual":[123],"quality,":[125],"second":[128],"one":[129],"L2":[133],"norm":[134],"between":[135,223],"true":[137],"predicted":[139],"piano-roll,":[140],"estimated":[141],"reconstruction.":[145],"Through":[146],"comprehensive":[147],"evaluations":[148],"gaps":[150],"375ms":[152],"750ms,":[154],"are":[156],"considered":[157],"literature":[160],"be":[162],"respectively":[163],"\"small\"":[165],"\"medium\"":[167],"duration,":[168],"demonstrate":[170],"robustness":[172],"effectiveness":[174],"our":[176],"producing":[179],"coherent":[180],"reconstructions":[181],"reduced":[183],"artifacts.":[184],"approach":[187],"outperforms":[188],"baseline":[190],"cGAN-based":[191],"method,":[192],"GACELA.":[193],"In":[194],"terms":[195],"ODG":[197],"score,":[198],"metric":[200],"inspired":[201],"human-based":[204],"scoring":[205],"system,":[206],"achieve":[208],"gain":[210],"performance":[212],"up":[213],"13.3%,":[215],"while":[216],"improvement":[218],"Structural":[220],"Similarity":[221],"(SSIM)":[222],"clean":[225],"restored":[227],"reaches":[229],"13.6%.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}