{"id":"https://openalex.org/W7119534318","doi":"https://doi.org/10.1186/s13636-025-00442-1","title":"Tilt loss: a perceptual loss function to improve music packet loss concealment","display_name":"Tilt loss: a perceptual loss function to improve music packet loss concealment","publication_year":2026,"publication_date":"2026-01-09","ids":{"openalex":"https://openalex.org/W7119534318","doi":"https://doi.org/10.1186/s13636-025-00442-1"},"language":"en","primary_location":{"id":"doi:10.1186/s13636-025-00442-1","doi":"https://doi.org/10.1186/s13636-025-00442-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-025-00442-1","pdf_url":null,"source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","jufo-1","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s13636-025-00442-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122392914","display_name":"Filippo Daniotti","orcid":"https://orcid.org/0009-0003-4169-503X","observed_orcids":["https://orcid.org/0009-0003-4169-503X"]},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Filippo Daniotti","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, 38123, Trento, Italy"],"raw_orcid":"https://orcid.org/0009-0003-4169-503X","affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, 38123, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088430270","display_name":"Luca Vignati","orcid":"https://orcid.org/0000-0003-2833-4689","observed_orcids":["https://orcid.org/0000-0003-2833-4689"]},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Vignati","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, 38123, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, 38123, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016907742","display_name":"Luca Turchet","orcid":"https://orcid.org/0000-0003-0711-8098","observed_orcids":["https://orcid.org/0000-0003-0711-8098"]},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Turchet","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, 38123, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, 38123, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5122392914"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":{"value":1890,"currency":"USD","value_usd":1890},"apc_paid":{"value":1890,"currency":"USD","value_usd":1890},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02967581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2026","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.6528000235557556,"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":0.6528000235557556,"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":0.19670000672340393,"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":0.09740000218153,"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/packet-loss-concealment","display_name":"packet loss concealment","score":0.9929999709129333},{"id":"https://openalex.org/keywords/perceptual-loss","display_name":"perceptual loss","score":0.8019999861717224},{"id":"https://openalex.org/keywords/networked-music-performance","display_name":"networked music performance","score":0.9179999828338623},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.6000000238418579},{"id":"https://openalex.org/keywords/inference-latency","display_name":"inference latency","score":0.6520000100135803},{"id":"https://openalex.org/keywords/objective-evaluation-metrics","display_name":"objective evaluation metrics","score":0.5910000205039978},{"id":"https://openalex.org/keywords/sound-quality","display_name":"sound quality","score":0.3140000104904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7475000023841858},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7324000000953674},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.6769999861717224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5573999881744385},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5418999791145325},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4787999987602234},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4749000072479248},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.46860000491142273},{"id":"https://openalex.org/C2779844322","wikidata":"https://www.wikidata.org/wiki/Q2919140","display_name":"Tilt (camera)","level":2,"score":0.4519999921321869},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.450300008058548},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4108000099658966},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3961000144481659},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3783999979496002},{"id":"https://openalex.org/C193519340","wikidata":"https://www.wikidata.org/wiki/Q891179","display_name":"Data loss","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C105951970","wikidata":"https://www.wikidata.org/wiki/Q1036748","display_name":"Loss function","level":4,"score":0.29919999837875366},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26409998536109924},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C22033958","wikidata":"https://www.wikidata.org/wiki/Q7167036","display_name":"Perceptual learning","level":3,"score":0.2565000057220459}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13636-025-00442-1","doi":"https://doi.org/10.1186/s13636-025-00442-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-025-00442-1","pdf_url":null,"source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","jufo-1","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},{"id":"pmh:oai:iris.unitn.it:11572/488032","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11572/488032","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1186/s13636-025-00442-1","doi":"https://doi.org/10.1186/s13636-025-00442-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-025-00442-1","pdf_url":null,"source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","jufo-1","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/10","score":0.4027264416217804,"display_name":"Reduced inequalities"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338448","display_name":"HORIZON EUROPE European Innovation Council","ror":"https://ror.org/05cx8cy07"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1552314771","https://openalex.org/W1951724000","https://openalex.org/W2067295501","https://openalex.org/W2119186893","https://openalex.org/W2137539246","https://openalex.org/W2163324046","https://openalex.org/W2560180317","https://openalex.org/W2791686384","https://openalex.org/W2793211626","https://openalex.org/W2888169323","https://openalex.org/W2892844477","https://openalex.org/W2898322826","https://openalex.org/W3016027511","https://openalex.org/W3042610466","https://openalex.org/W3178638614","https://openalex.org/W3207100935","https://openalex.org/W4304099412","https://openalex.org/W4372260323","https://openalex.org/W4385823256","https://openalex.org/W4388117854","https://openalex.org/W4389722537","https://openalex.org/W4397022574","https://openalex.org/W4414799845"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Recent":[1],"advancements":[2],"in":[3,21,51,55,135],"deep":[4,27],"learning":[5],"have":[6,31,70,117],"paved":[7],"the":[8,14,38,56,59,65,75,80,83,98,111,122,132,143,155,164],"way":[9],"for":[10,45,157,163],"novel":[11,158],"approaches":[12],"to":[13,63,116,130,139],"problem":[15],"of":[16,42,58],"Packet":[17],"Loss":[18],"Concealment":[19],"(PLC)":[20],"networked":[22],"music":[23],"performance":[24,147],"systems.":[25,47],"However,":[26],"neural":[28],"networks":[29],"may":[30],"large":[32],"inference":[33,91],"times":[34],"and,":[35],"therefore,":[36],"violate":[37],"strict":[39],"temporal":[40],"requirements":[41],"PLC":[43,136,165],"methods":[44,137],"such":[46],"A":[48],"promising":[49],"avenue":[50],"this":[52,94],"space":[53],"lies":[54],"exploration":[57],"loss":[60,68,103,107],"function":[61,108],"used":[62],"train":[64],"network.":[66],"Indeed,":[67],"functions":[69],"a":[71,101,106],"direct":[72],"impact":[73],"on":[74],"latent":[76],"representation":[77],"learned":[78],"by":[79],"model":[81,112,144],"during":[82],"training":[84],"process":[85],"without":[86],"any":[87],"additional":[88],"cost":[89],"at":[90],"time.":[92],"In":[93],"paper,":[95],"we":[96],"present":[97],"Tilt":[99],"Loss,":[100],"perceptual":[102],"function,":[104],"i.e.,":[105],"that":[109,119],"allows":[110],"trained":[113],"with":[114,121,148],"it":[115],"performances":[118],"correlate":[120],"human":[123,140],"evaluation.":[124],"The":[125],"proposed":[126],"method":[127],"was":[128],"able":[129],"outperform":[131],"current":[133],"state-of-the-art":[134],"according":[138],"evaluation,":[141],"albeit":[142],"exhibited":[145],"unsatisfactory":[146],"unpitched":[149],"instruments.":[150],"Furthermore,":[151],"our":[152],"study":[153],"pinpoints":[154],"need":[156],"objective":[159],"metrics":[160],"specifically":[161],"tailored":[162],"case.":[166]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2026-01-09T00:00:00"}