{"id":"https://openalex.org/W3087603587","doi":"https://doi.org/10.1145/3430984.3431023","title":"GuessTheMusic: Song Identification from Electroencephalography response","display_name":"GuessTheMusic: Song Identification from Electroencephalography response","publication_year":2020,"publication_date":"2020-12-28","ids":{"openalex":"https://openalex.org/W3087603587","doi":"https://doi.org/10.1145/3430984.3431023","mag":"3087603587"},"language":"en","primary_location":{"id":"doi:10.1145/3430984.3431023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430984.3431023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2009.08793","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023881042","display_name":"Dhananjay Sonawane","orcid":null},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhananjay Sonawane","raw_affiliation_strings":["Indian Institute of Technology Gandhinagar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Gandhinagar","institution_ids":["https://openalex.org/I27674431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049413065","display_name":"Krishna Prasad Miyapuram","orcid":"https://orcid.org/0000-0001-5779-2342"},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishna Prasad Miyapuram","raw_affiliation_strings":["Indian Institute of Technology Gandhinagar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Gandhinagar","institution_ids":["https://openalex.org/I27674431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009013984","display_name":"Bharatesh Rs","orcid":null},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bharatesh Rs","raw_affiliation_strings":["Indian Institute of Technology Gandhinagar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Gandhinagar","institution_ids":["https://openalex.org/I27674431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085716385","display_name":"Derek Lomas","orcid":"https://orcid.org/0000-0003-2329-7831"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Derek J. Lomas","raw_affiliation_strings":["Delft University of Technology, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"154","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10788","display_name":"Neuroscience and Music Perception","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9976000189781189,"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/electroencephalography","display_name":"Electroencephalography","score":0.8476547002792358},{"id":"https://openalex.org/keywords/timbre","display_name":"Timbre","score":0.6400597095489502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.612986147403717},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5839859843254089},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.5457425117492676},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.5318745374679565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.448192298412323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44422945380210876},{"id":"https://openalex.org/keywords/rhythm","display_name":"Rhythm","score":0.43747684359550476},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42260050773620605},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4106355905532837},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3613898456096649},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.25462114810943604},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1094231903553009},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.07660529017448425}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8476547002792358},{"id":"https://openalex.org/C2776539107","wikidata":"https://www.wikidata.org/wiki/Q176501","display_name":"Timbre","level":3,"score":0.6400597095489502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.612986147403717},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5839859843254089},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.5457425117492676},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.5318745374679565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.448192298412323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44422945380210876},{"id":"https://openalex.org/C135343436","wikidata":"https://www.wikidata.org/wiki/Q170406","display_name":"Rhythm","level":2,"score":0.43747684359550476},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42260050773620605},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4106355905532837},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3613898456096649},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.25462114810943604},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1094231903553009},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.07660529017448425},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3430984.3431023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430984.3431023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2009.08793","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.08793","pdf_url":"https://arxiv.org/pdf/2009.08793","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3087603587","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2009.08793.pdf","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2009.08793","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2009.08793","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.13140/rg.2.2.22290.89284","is_oa":true,"landing_page_url":"https://doi.org/10.13140/rg.2.2.22290.89284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2009.08793","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.08793","pdf_url":"https://arxiv.org/pdf/2009.08793","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3087603587.pdf","grobid_xml":"https://content.openalex.org/works/W3087603587.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1563795667","https://openalex.org/W1665214252","https://openalex.org/W1903029394","https://openalex.org/W1973422494","https://openalex.org/W2014602221","https://openalex.org/W2041853331","https://openalex.org/W2162572398","https://openalex.org/W2407597664","https://openalex.org/W2578308207","https://openalex.org/W2766524960","https://openalex.org/W2775816866","https://openalex.org/W2810554689","https://openalex.org/W2892111933","https://openalex.org/W2902529584","https://openalex.org/W2922008250","https://openalex.org/W2963847539"],"related_works":["https://openalex.org/W3192205271","https://openalex.org/W2963847539","https://openalex.org/W1867201829","https://openalex.org/W1965888514","https://openalex.org/W2760166400","https://openalex.org/W3095405717","https://openalex.org/W3210754807","https://openalex.org/W2110822315","https://openalex.org/W2767301315","https://openalex.org/W2999244446","https://openalex.org/W91112589","https://openalex.org/W3185332655","https://openalex.org/W3121476887","https://openalex.org/W2795275221","https://openalex.org/W2997111061","https://openalex.org/W3106202425","https://openalex.org/W3039428233","https://openalex.org/W2266489716","https://openalex.org/W2991188611","https://openalex.org/W2548133160"],"abstract_inverted_index":{"The":[0,95,214],"music":[1],"signal":[2,31],"comprises":[3],"of":[4,36,72,80,85,98,110,116,130,153,210],"different":[5],"features":[6],"like":[7],"rhythm,":[8],"timbre,":[9],"melody,":[10],"harmony.":[11],"Its":[12],"impact":[13],"on":[14,207],"the":[15,25,33,40,60,66,124,162,186,211,221,232],"human":[16],"brain":[17,37,108],"has":[18],"been":[19],"an":[20],"exciting":[21],"research":[22],"topic":[23],"for":[24,51,171,185],"past":[26],"several":[27],"decades.":[28],"Electroencephalography":[29],"(EEG)":[30,62],"enables":[32],"non-invasive":[34],"measurement":[35],"activity.":[38],"Leveraging":[39],"recent":[41],"advancements":[42],"in":[43,92,174,231],"deep":[44],"learning,":[45],"we":[46,122,164],"proposed":[47],"a":[48,55,70,78,103,139,154,226],"novel":[49],"approach":[50,106],"song":[52,82,118,125,173,227],"identification":[53],"using":[54],"Convolution":[56],"Neural":[57],"network":[58],"given":[59,134],"electroencephalography":[61],"responses.":[63],"We":[64,143,180],"recorded":[65],"EEG":[67,131,169],"signals":[68,109],"from":[69,238],"group":[71],"20":[73],"participants":[74],"while":[75],"listening":[76,224],"to":[77,127,149,201,225,240],"set":[79],"12":[81],"clips,":[83],"each":[84,117,167,172],"approximately":[86],"2":[87],"minutes,":[88],"that":[89,223],"were":[90],"presented":[91],"random":[93],"order.":[94],"repeating":[96],"nature":[97],"Music":[99],"is":[100],"captured":[101],"by":[102],"data":[104,132],"slicing":[105],"considering":[107],"1":[111],"second":[112,129],"duration":[113],"as":[114,135,199],"representative":[115],"clip.":[119],"More":[120],"specifically,":[121],"predict":[123],"corresponding":[126],"one":[128],"when":[133,205],"input":[136],"rather":[137],"than":[138],"complete":[140],"two-minute":[141],"response.":[142],"have":[144,165,181],"also":[145],"discussed":[146],"pre-processing":[147],"steps":[148],"handle":[150],"large":[151],"dimensions":[152],"dataset":[155],"and":[156,177,234],"various":[157],"CNN":[158],"architectures.":[159],"For":[160],"all":[161],"experiments,":[163],"considered":[166],"participant\u2019s":[168],"response":[170],"both":[175],"train":[176],"test":[178],"data.":[179],"obtained":[182],"84.96%":[183],"accuracy":[184],"same":[187],"at":[188],"0.3":[189],"train-test":[190],"split":[191],"ratio.":[192],"Moreover,":[193],"our":[194],"model":[195],"gave":[196],"commendable":[197],"results":[198],"compare":[200],"chance":[202],"level":[203],"probability":[204],"trained":[206],"only":[208],"10%":[209],"total":[212],"dataset.":[213],"performance":[215],"observed":[216],"gives":[217],"appropriate":[218],"implication":[219],"towards":[220],"notion":[222],"creates":[228],"specific":[229],"patterns":[230,236],"brain,":[233],"these":[235],"vary":[237],"person":[239],"person.":[241]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}