{"id":"https://openalex.org/W6948660469","doi":"https://doi.org/10.5281/zenodo.10265263","title":"High-Resolution Violin Transcription Using Weak Labels","display_name":"High-Resolution Violin Transcription Using Weak Labels","publication_year":2023,"publication_date":"2023-11-04","ids":{"openalex":"https://openalex.org/W6948660469","doi":"https://doi.org/10.5281/zenodo.10265263"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.10265263","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10265263","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"ConferencePaper"},"type":"conference-paper","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.10265263","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Nazif Can Tamer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nazif Can Tamer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yigitcan \u00d6zer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yigitcan \u00d6zer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Meinard M\u00fcller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meinard M\u00fcller","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Xavier Serra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xavier Serra","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56740088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.06530000269412994,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.06530000269412994,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13124","display_name":"Chemical synthesis and alkaloids","score":0.057100001722574234,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13568","display_name":"Wood and Agarwood Research","score":0.04910000041127205,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/violin","display_name":"Violin","score":0.9174000024795532},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.8289999961853027},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.4277999997138977},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.41780000925064087},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3734999895095825},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.3443000018596649}],"concepts":[{"id":"https://openalex.org/C129554576","wikidata":"https://www.wikidata.org/wiki/Q8355","display_name":"Violin","level":2,"score":0.9174000024795532},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.8289999961853027},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6154999732971191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6148999929428101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4745999872684479},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.4277999997138977},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.41780000925064087},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.37619999051094055},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3734999895095825},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.3443000018596649},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3221000134944916},{"id":"https://openalex.org/C95543465","wikidata":"https://www.wikidata.org/wiki/Q6607","display_name":"Guitar","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.2581000030040741},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.10265263","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10265263","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"ConferencePaper"}],"best_oa_location":{"id":"doi:10.5281/zenodo.10265263","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10265263","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"ConferencePaper"},"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":{"A":[0],"descriptive":[1],"transcription":[2,29,57,108],"of":[3,106,136],"a":[4,51],"violin":[5,56,77,107,139],"performance":[6,140],"requires":[7],"detecting":[8],"not":[9,31],"only":[10],"the":[11,15,44,71,103,144],"notes":[12,78],"but":[13],"also":[14],"fine-grained":[16],"pitch":[17,82,110],"variations,":[18],"such":[19],"as":[20],"vibrato.":[21],"Most":[22],"existing":[23],"deep":[24],"learning":[25],"methods":[26],"for":[27,43,54,64],"music":[28],"do":[30],"capture":[32],"these":[33],"variations":[34],"and":[35,75,79,89,109,112],"often":[36],"need":[37],"frame-level":[38],"annotations,":[39],"which":[40],"are":[41],"scarce":[42],"violin.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49],"propose":[50],"novel":[52],"method":[53,97],"high-resolution":[55],"that":[58,95],"can":[59,114],"leverage":[60],"piece-level":[61],"weak":[62],"labels":[63,119],"training.":[65],"Our":[66],"conformer-based":[67],"model":[68,131],"works":[69],"on":[70],"raw":[72],"audio":[73],"waveform":[74],"transcribes":[76],"their":[80],"corresponding":[81],"deviations":[83],"with":[84,125,133],"5.8":[85],"ms":[86],"frame":[87],"resolution":[88],"10-cent":[90],"frequency":[91],"resolution.":[92],"We":[93,128],"demonstrate":[94],"our":[96,130],"(1)":[98],"outperforms":[99],"generic":[100],"systems":[101],"in":[102],"proxy":[104],"tasks":[105],"estimation,":[111],"(2)":[113],"automatically":[115],"generate":[116],"new":[117],"training":[118],"by":[120],"aligning":[121],"its":[122],"feature":[123],"representations":[124],"unseen":[126],"scores.":[127],"share":[129],"along":[132],"34":[134],"hours":[135],"score-aligned":[137],"solo":[138],"dataset,":[141],"notably":[142],"including":[143],"24":[145],"Paganini":[146],"Caprices.":[147]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}