{"id":"https://openalex.org/W4417402792","doi":"https://doi.org/10.1109/is264627.2025.11284553","title":"Towards Explainable Music Emotion Recognition for Guitar Improvisations","display_name":"Towards Explainable Music Emotion Recognition for Guitar Improvisations","publication_year":2025,"publication_date":"2025-10-29","ids":{"openalex":"https://openalex.org/W4417402792","doi":"https://doi.org/10.1109/is264627.2025.11284553"},"language":"en","primary_location":{"id":"doi:10.1109/is264627.2025.11284553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is264627.2025.11284553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 6th International Symposium on the Internet of Sounds (IS2)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112084620","display_name":"M. Rossi","orcid":"https://orcid.org/0009-0007-5982-4150"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Michele Rossi","raw_affiliation_strings":["University of Trento,Department of Information Engineering and Computer Science,Trento,Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento,Department of Information Engineering and Computer Science,Trento,Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103124762","display_name":"Domenico Stefani","orcid":"https://orcid.org/0000-0002-2126-0667"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Domenico Stefani","raw_affiliation_strings":["University of Trento,Department of Information Engineering and Computer Science,Trento,Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento,Department of Information Engineering and Computer Science,Trento,Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048509747","display_name":"Johan Pauwels","orcid":"https://orcid.org/0000-0002-5805-7144"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Johan Pauwels","raw_affiliation_strings":["Queen Mary University of London,UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007121933","display_name":"Giovanni Iacca","orcid":"https://orcid.org/0000-0001-9723-1830"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Iacca","raw_affiliation_strings":["University of Trento,Department of Information Engineering and Computer Science,Trento,Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento,Department of Information Engineering and Computer Science,Trento,Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016907742","display_name":"Luca Turchet","orcid":"https://orcid.org/0000-0003-0711-8098"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Turchet","raw_affiliation_strings":["University of Trento,Department of Information Engineering and Computer Science,Trento,Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento,Department of Information Engineering and Computer Science,Trento,Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112084620"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47717118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.6668999791145325,"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":0.6668999791145325,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.11840000003576279,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.08460000157356262,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8851000070571899},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.7401999831199646},{"id":"https://openalex.org/keywords/guitar","display_name":"Guitar","score":0.6693999767303467},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5004000067710876},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.47519999742507935},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44830000400543213},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4104999899864197},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.396699994802475}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8851000070571899},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.7401999831199646},{"id":"https://openalex.org/C95543465","wikidata":"https://www.wikidata.org/wiki/Q6607","display_name":"Guitar","level":2,"score":0.6693999767303467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5774999856948853},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5004000067710876},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.47519999742507935},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44830000400543213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41600000858306885},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4104999899864197},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4011000096797943},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.396699994802475},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.3314000070095062},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C125468537","wikidata":"https://www.wikidata.org/wiki/Q214961","display_name":"Improvisation","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.2840000092983246},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.27889999747276306},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.26269999146461487},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.25949999690055847},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2572999894618988}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/is264627.2025.11284553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is264627.2025.11284553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 6th International Symposium on the Internet of Sounds (IS2)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/469219","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/11284553","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338448","display_name":"HORIZON EUROPE European Innovation Council","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Explainability":[0],"has":[1],"gained":[2],"significant":[3],"attention":[4],"across":[5,86,181],"various":[6],"domains,":[7],"yet":[8],"it":[9],"remains":[10],"relatively":[11],"underexplored":[12],"in":[13,19,98],"the":[14,94,108,112,133,145,153,162,168,171,189],"field":[15],"of":[16,78,83,104,115,161,177,191],"music,":[17],"particularly":[18],"Music":[20],"Emotion":[21],"Recognition.":[22],"This":[23],"paper":[24],"presents":[25],"XMERApp;":[26],"a":[27,35,52],"web":[28],"application":[29,73],"designed":[30],"to":[31,61,92,132,144,170],"provide":[32],"interpretability":[33,190],"for":[34,152],"deep":[36,53],"learning":[37,54],"model":[38,99],"that":[39,125],"classifies":[40],"classical":[41],"and":[42,96,121,164],"acoustic":[43],"guitar":[44],"into":[45,158],"four":[46],"emotional":[47,116],"states.":[48],"Our":[49],"system":[50],"employs":[51],"architecture":[55],"trained":[56],"on":[57],"improvised":[58],"musical":[59,186],"performances":[60],"classify":[62],"emotions,":[63],"while":[64],"providing":[65],"comprehensive":[66],"explainability":[67],"through":[68],"multiple":[69],"complementary":[70],"approaches.":[71],"The":[72,174],"offers":[74],"users":[75,91,141],"three":[76],"levels":[77],"interpretability:":[79],"(1)":[80],"detailed":[81],"breakdowns":[82],"prediction":[84],"probabilities":[85],"different":[87],"emotion":[88,105,154],"categories,":[89],"enabling":[90],"understand":[93],"confidence":[95],"uncertainty":[97],"predictions;":[100],"(2)":[101],"temporal":[102],"visualization":[103],"evolution":[106],"throughout":[107],"improvisation,":[109],"revealing":[110],"how":[111],"model\u2019s":[113,134,172],"understanding":[114],"content":[117],"develops":[118],"over":[119],"time;":[120],"(3)":[122],"LIME-based":[123],"explanations":[124],"highlight":[126],"specific":[127,146],"spectrogram":[128,147],"regions":[129,148],"most":[130,169],"influential":[131],"decisions":[135],"within":[136,195],"focused":[137],"time":[138],"windows.":[139],"Additionally,":[140],"can":[142],"listen":[143],"identified":[149],"as":[150],"critical":[151],"classification,":[155],"gaining":[156],"insights":[157],"which":[159],"parts":[160],"performance":[163],"frequency":[165],"ranges":[166],"contributed":[167],"output.":[173],"web-based":[175],"nature":[176],"XMERApp":[178],"enables":[179],"deployment":[180],"many":[182],"devices,":[183],"including":[184],"smart":[185],"instruments,":[187],"enhancing":[188],"intelligent":[192],"features":[193],"embedded":[194],"them.":[196]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-16T00:00:00"}