{"id":"https://openalex.org/W7161111610","doi":"https://doi.org/10.48550/arxiv.2605.13404","title":"Seconds-Aligned PCA-DAC Latent Diffusion for Symbolic-to-Audio Drum Rendering","display_name":"Seconds-Aligned PCA-DAC Latent Diffusion for Symbolic-to-Audio Drum Rendering","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161111610","doi":"https://doi.org/10.48550/arxiv.2605.13404"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.13404","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13404","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.2605.13404","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117588444","display_name":"Konstantinos Soiledis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soiledis, Konstantinos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136165293","display_name":"Maximos Kaliakatsos Papakostas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Papakostas, Maximos Kaliakatsos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045850355","display_name":"Dimos Makris","orcid":"https://orcid.org/0000-0002-4556-4227"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Makris, Dimos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135972918","display_name":"Konstantinos Tsamis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsamis, Konstantinos","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/T11349","display_name":"Music Technology and Sound Studies","score":0.6662999987602234,"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"}},"topics":[{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.6662999987602234,"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/T11309","display_name":"Music and Audio Processing","score":0.13420000672340393,"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":0.05620000138878822,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.6492999792098999},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5468000173568726},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4652000069618225},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4551999866962433},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.4537999927997589},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4327000081539154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4253000020980835}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6492999792098999},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5468000173568726},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4993000030517578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4912000000476837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4853000044822693},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4652000069618225},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4551999866962433},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.4537999927997589},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4180000126361847},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.36469998955726624},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C175845324","wikidata":"https://www.wikidata.org/wiki/Q2738285","display_name":"Drum","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3107999861240387},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.13404","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13404","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.2605.13404","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13404","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":{"Symbolic-control":[0],"drum":[1,24],"generation":[2],"requires":[3],"preserving":[4],"explicit":[5],"event":[6,30],"timing":[7],"and":[8,39,102,109,134],"dynamics":[9],"while":[10,114],"synthesizing":[11],"acoustically":[12],"plausible":[13],"waveforms.":[14],"We":[15],"present":[16],"Sec2Drum-DAC,":[17],"a":[18,73,79,110],"conditional":[19],"latent-diffusion":[20],"model":[21,27],"for":[22],"symbolic-to-audio":[23],"rendering.":[25],"The":[26],"conditions":[28],"on":[29,119,129,148],"features":[31],"sampled":[32],"in":[33],"physical":[34],"time":[35],"at":[36,143],"codec-frame":[37],"locations":[38],"predicts":[40],"standardized":[41],"principal-component":[42],"coordinates":[43],"of":[44],"frozen":[45],"DAC":[46,56,86],"summed-codebook":[47],"embeddings":[48],"rather":[49],"than":[50],"waveform":[51,90,121,135],"samples.":[52],"In":[53],"the":[54,62,68,84,138,149],"evaluated":[55],"configuration,":[57],"72":[58],"principal":[59],"components":[60],"capture":[61],"observed":[63],"training-frame":[64],"summed-latent":[65],"subspace":[66],"under":[67],"stated":[69],"SVD":[70],"threshold,":[71],"yielding":[72],"compact":[74],"continuous":[75],"denoising":[76,145],"target":[77],"with":[78,137],"deterministic":[80,106],"reconstruction":[81],"path":[82],"to":[83],"1024-dimensional":[85],"latent":[87],"space":[88],"before":[89],"decoding.":[91],"Across":[92],"1,733":[93],"held-out":[94],"four-beat":[95],"windows,":[96],"PCA":[97,107],"diffusion":[98,128],"improves":[99,126],"paired":[100],"spectral":[101],"transient":[103],"metrics":[104],"over":[105],"regression":[108,116],"symbolic":[111],"rendering":[112],"baseline,":[113],"direct":[115],"remains":[117],"stronger":[118],"phase-sensitive":[120],"L1.":[122],"Auxiliary":[123],"RVQ":[124],"cross-entropy":[125],"short-step":[127],"mel":[130],"error,":[131],"onset-flux":[132],"cosine,":[133],"L1,":[136],"most":[139],"favorable":[140],"trade-offs":[141],"occurring":[142],"6-25":[144],"steps":[146],"depending":[147],"metric.":[150]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-15T00:00:00"}