{"id":"https://openalex.org/W7160959206","doi":"https://doi.org/10.48550/arxiv.2605.09259","title":"Remix the Timbre: Diffusion-Based Style Transfer Across Polyphonic Stems","display_name":"Remix the Timbre: Diffusion-Based Style Transfer Across Polyphonic Stems","publication_year":2026,"publication_date":"2026-05-10","ids":{"openalex":"https://openalex.org/W7160959206","doi":"https://doi.org/10.48550/arxiv.2605.09259"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.09259","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09259","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.09259","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070085062","display_name":"Leduo Chen","orcid":"https://orcid.org/0009-0005-4316-5897"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Leduo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104290513","display_name":"Junchuan Zhao","orcid":"https://orcid.org/0009-0008-2616-6590"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Junchuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135958226","display_name":"Shengchen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Shengchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.5559999942779541,"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":0.5559999942779541,"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":0.22759999334812164,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.08839999884366989,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/timbre","display_name":"Timbre","score":0.9517999887466431},{"id":"https://openalex.org/keywords/polyphony","display_name":"Polyphony","score":0.6585000157356262},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.45100000500679016},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44179999828338623},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.436599999666214},{"id":"https://openalex.org/keywords/musical","display_name":"Musical","score":0.3950999975204468},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.36730000376701355},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.3587999939918518}],"concepts":[{"id":"https://openalex.org/C2776539107","wikidata":"https://www.wikidata.org/wiki/Q176501","display_name":"Timbre","level":3,"score":0.9517999887466431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690500020980835},{"id":"https://openalex.org/C128979739","wikidata":"https://www.wikidata.org/wiki/Q179465","display_name":"Polyphony","level":2,"score":0.6585000157356262},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6291000247001648},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.45100000500679016},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44179999828338623},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.436599999666214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4043999910354614},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.3950999975204468},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39079999923706055},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.36730000376701355},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.3587999939918518},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.28529998660087585},{"id":"https://openalex.org/C2983311337","wikidata":"https://www.wikidata.org/wiki/Q34379","display_name":"Musical instrument","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C128422554","wikidata":"https://www.wikidata.org/wiki/Q20077126","display_name":"Sound recording and reproduction","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2646999955177307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C8854915","wikidata":"https://www.wikidata.org/wiki/Q4350200","display_name":"Information transfer","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.09259","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09259","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.09259","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09259","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Timbre":[0],"transfer":[1,22,65,168,189],"aims":[2],"to":[3,29,52,88,124],"modify":[4],"the":[5,14,53,58,89,98,101,107,125,145,162,170,181,191],"timbral":[6],"identity":[7],"of":[8,55,127,164],"a":[9,68,72,75,93,121,138,175],"musical":[10],"recording":[11],"while":[12],"preserving":[13],"original":[15],"melody":[16],"and":[17,41,74,104,129,158],"rhythm.":[18],"While":[19],"single-instrument":[20,153],"timbre":[21,64,77,167,188],"has":[23],"made":[24],"substantial":[25],"progress,":[26],"existing":[27],"approaches":[28],"multi-instrument":[30,166],"settings":[31],"rely":[32],"on":[33,144,155],"separate-then-transfer":[34,172],"pipelines":[35],"that":[36,150,180],"propagate":[37],"source":[38],"separation":[39,115],"artifacts":[40],"produce":[42],"incoherent":[43],"synthesized":[44],"timbres":[45],"across":[46,100],"stems.":[47],"This":[48],"paper":[49],"proposes":[50],"MixtureTT,":[51],"best":[54],"our":[56],"knowledge":[57],"first":[59],"system":[60],"for":[61,79,186],"flexible":[62],"per-stem":[63,102],"directly":[66],"from":[67],"polyphonic":[69],"mixture.":[70],"Given":[71],"mixture":[73],"separate":[76],"reference":[78],"each":[80],"target":[81],"voice,":[82],"MixtureTT":[83,151],"jointly":[84],"transfers":[85],"all":[86],"stems":[87],"specified":[90],"instruments":[91],"through":[92],"shared":[94],"diffusion":[95,111],"process.":[96],"Modeling":[97],"dependencies":[99],"content":[103],"cross-stem":[105,182],"harmonic,":[106],"proposed":[108,192],"joint":[109,193],"stem":[110],"transformer":[112],"eliminates":[113],"cascaded":[114],"error,":[116],"reduces":[117],"inference":[118],"cost":[119],"by":[120],"factor":[122],"equal":[123],"number":[126],"stems,":[128],"yields":[130],"more":[131],"coherent":[132],"multi-stem":[133],"outputs.":[134],"Despite":[135],"operating":[136],"under":[137],"strictly":[139],"harder":[140],"input":[141],"condition,":[142],"evaluations":[143],"SATB":[146],"choral":[147],"dataset":[148],"show":[149],"outperforms":[152],"baselines":[154],"both":[156],"objective":[157],"subjective":[159],"metrics":[160],"demonstrating":[161],"necessity":[163],"dedicated":[165],"over":[169],"naive":[171],"pipelines.":[173],"As":[174],"result,":[176],"this":[177],"work":[178],"confirms":[179],"modeling":[183],"is":[184],"essential":[185],"mixture-level":[187],"as":[190],"setting":[194],"consistently":[195],"exceeds":[196],"an":[197],"equivalent":[198],"single-stem":[199],"ablation.":[200]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-13T00:00:00"}