{"id":"https://openalex.org/W7161736545","doi":"https://doi.org/10.48550/arxiv.2605.18613","title":"SAME: A Semantically-Aligned Music Autoencoder","display_name":"SAME: A Semantically-Aligned Music Autoencoder","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7161736545","doi":"https://doi.org/10.48550/arxiv.2605.18613"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.18613","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18613","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.18613","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034175373","display_name":"Julian D. Parker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parker, Julian D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014306278","display_name":"Zach Evans","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Evans, Zach","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136477278","display_name":"CJ Carr","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carr, CJ","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048631871","display_name":"Zachary Zukowski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zukowski, Zachary","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113116667","display_name":"Josiah Taylor","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taylor, Josiah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109638627","display_name":"Matthew Rice","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rice, Matthew","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136488952","display_name":"Jordi Pons","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pons, Jordi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"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":0.2971999943256378,"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":0.2971999943256378,"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":0.24699999392032623,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.210099995136261,"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/autoencoder","display_name":"Autoencoder","score":0.8517000079154968},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6935999989509583},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5164999961853027},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4796000123023987},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45559999346733093},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.42160001397132874},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4129999876022339},{"id":"https://openalex.org/keywords/sound-quality","display_name":"Sound quality","score":0.3889999985694885}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8517000079154968},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6935999989509583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6516000032424927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5504000186920166},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5468000173568726},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5164999961853027},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4796000123023987},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45559999346733093},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42160001397132874},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4129999876022339},{"id":"https://openalex.org/C167310288","wikidata":"https://www.wikidata.org/wiki/Q7564808","display_name":"Sound quality","level":2,"score":0.3889999985694885},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.31130000948905945},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.3000999987125397},{"id":"https://openalex.org/C159693508","wikidata":"https://www.wikidata.org/wiki/Q3301075","display_name":"Phonocardiogram","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26089999079704285},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.18613","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18613","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.18613","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18613","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7909061908721924,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Latent":[0],"representations":[1],"are":[2,18,107],"at":[3],"the":[4,7,14],"heart":[5],"of":[6,9,67],"majority":[8],"modern":[10],"generative":[11,55],"models.":[12],"In":[13,25],"audio":[15,41],"domain":[16],"they":[17],"typically":[19],"produced":[20],"by":[21,60],"a":[22,44,62,104],"neural-audio-codec":[23],"autoencoder.":[24],"this":[26,59],"work":[27],"we":[28],"introduce":[29],"SAME":[30],"(Semantically-Aligned":[31],"Music":[32],"autoEncoder),":[33],"an":[34],"autoencoder":[35],"for":[36],"stereo":[37],"music":[38],"and":[39,53,74,91,103],"general":[40],"that":[42],"reaches":[43],"4096$\\times$":[45],"temporal":[46],"compression":[47,89],"ratio":[48,90],"while":[49],"maintaining":[50],"reconstruction":[51,72],"quality":[52],"downstream":[54],"performance.":[56],"We":[57],"achieve":[58],"combining":[61],"tranformer-based":[63],"backbone":[64],"with":[65],"set":[66],"semantic":[68],"regularisation":[69],"approaches,":[70],"phase-aware":[71],"losses":[73],"improved":[75],"discriminator":[76],"designs.":[77],"The":[78],"architecture":[79],"delivers":[80],"substantial":[81],"computational":[82],"cost":[83],"benefits,":[84],"through":[85],"both":[86],"its":[87,92],"high":[88],"reliance":[93],"on":[94],"well-optimised":[95],"transformer":[96],"primitives.":[97],"Two":[98],"variants":[99],"(a":[100],"large":[101],"SAME-L":[102],"CPU-deployable":[105],"SAME-S)":[106],"released":[108],"in":[109],"open-weights":[110],"form.":[111]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-20T00:00:00"}