{"id":"https://openalex.org/W7108622538","doi":"https://doi.org/10.5281/zenodo.17811416","title":"Joint Transcription of Acoustic Guitar Strumming Directions and Chords","display_name":"Joint Transcription of Acoustic Guitar Strumming Directions and Chords","publication_year":2025,"publication_date":"2025-09-21","ids":{"openalex":"https://openalex.org/W7108622538","doi":"https://doi.org/10.5281/zenodo.17811416"},"language":null,"primary_location":{"id":"doi:10.5281/zenodo.17811416","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17811416","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":""},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.17811416","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sebastian Murgul","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sebastian Murgul","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Johannes Schimper","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johannes Schimper","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Michael Heizmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Heizmann","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"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":0.62495516,"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":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9939000010490417,"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":0.9939000010490417,"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":0.0032999999821186066,"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":0.000699999975040555,"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/guitar","display_name":"Guitar","score":0.9642999768257141},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.7465000152587891},{"id":"https://openalex.org/keywords/chord","display_name":"Chord (peer-to-peer)","score":0.6869000196456909},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5971999764442444},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5504999756813049},{"id":"https://openalex.org/keywords/music-information-retrieval","display_name":"Music information retrieval","score":0.4422000050544739},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4327000081539154}],"concepts":[{"id":"https://openalex.org/C95543465","wikidata":"https://www.wikidata.org/wiki/Q6607","display_name":"Guitar","level":2,"score":0.9642999768257141},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.7465000152587891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956999897956848},{"id":"https://openalex.org/C194147245","wikidata":"https://www.wikidata.org/wiki/Q1076368","display_name":"Chord (peer-to-peer)","level":2,"score":0.6869000196456909},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6718999743461609},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5971999764442444},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5504999756813049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5012000203132629},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.4422000050544739},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.28110000491142273},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.2648000121116638},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.17811416","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17811416","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":""}],"best_oa_location":{"id":"doi:10.5281/zenodo.17811416","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17811416","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":""},"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":{"Automatic":[0],"transcription":[1,52,62,163],"of":[2,68,88,91,156],"guitar":[3,50,70,161,171],"strumming":[4,20,51,93,106,145,162],"is":[5,35,102],"an":[6,73],"underrepresented":[7],"and":[8,22,58,78,111,136,148,164],"challenging":[9],"task":[10],"in":[11],"Music":[12],"Information":[13],"Retrieval":[14],"(MIR),":[15],"particularly":[16],"for":[17,143,159,168],"extracting":[18],"both":[19,144],"directions":[21],"chord":[23,149],"progressions":[24],"from":[25],"audio":[26],"signals.":[27],"While":[28],"existing":[29],"methods":[30],"show":[31],"promise,":[32],"their":[33,109],"effectiveness":[34],"often":[36],"hindered":[37],"by":[38,53,84],"limited":[39],"datasets.":[40],"In":[41],"this":[42],"work,":[43],"we":[44],"extend":[45],"a":[46,55,59,79,85,131],"multimodal":[47],"approach":[48],"to":[49,104],"introducing":[54],"novel":[56],"dataset":[57,87],"deep":[60,157],"learning-based":[61],"model.":[63],"We":[64],"collect":[65],"90":[66],"minutes":[67],"real-world":[69,137],"recordings":[71],"using":[72,116],"ESP32":[74],"smartwatch":[75],"motion":[76],"sensor":[77],"structured":[80],"recording":[81],"protocol,":[82],"complemented":[83],"synthetic":[86,135],"4":[89],"hours":[90],"labeled":[92],"audio.":[94,119],"A":[95],"Convolutional":[96],"Recurrent":[97],"Neural":[98],"Network":[99],"(CRNN)":[100],"model":[101],"trained":[103],"detect":[105],"events,":[107],"classify":[108],"direction,":[110],"identify":[112],"the":[113,140,154],"corresponding":[114],"chords":[115],"only":[117],"microphone":[118],"Our":[120],"evaluation":[121],"demonstrates":[122],"significant":[123],"improvements":[124],"over":[125],"baseline":[126],"onset":[127],"detection":[128,147],"algorithms,":[129],"with":[130],"hybrid":[132],"method":[133],"combining":[134],"data":[138],"achieving":[139],"highest":[141],"accuracy":[142],"action":[146],"classification.":[150],"These":[151],"results":[152],"highlight":[153],"potential":[155],"learning":[158],"robust":[160],"open":[165],"new":[166],"avenues":[167],"automatic":[169],"rhythm":[170],"analysis.":[172]},"counts_by_year":[],"updated_date":"2025-12-05T23:25:22.460635","created_date":"2025-12-05T00:00:00"}