{"id":"https://openalex.org/W4398230382","doi":"https://doi.org/10.5281/zenodo.10265251","title":"A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability","display_name":"A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability","publication_year":2023,"publication_date":"2023-11-04","ids":{"openalex":"https://openalex.org/W4398230382","doi":"https://doi.org/10.5281/zenodo.10265251"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2405.12847","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.12847","pdf_url":"https://arxiv.org/pdf/2405.12847","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2405.12847","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114166989","display_name":"Li-Yang Tseng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li-Yang Tseng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102674792","display_name":"Tzu-Ling Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tzu-Ling Lin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040050806","display_name":"Hong-Han Shuai","orcid":"https://orcid.org/0000-0003-2216-077X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong-Han Shuai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016756842","display_name":"Jen-Wei Huang","orcid":"https://orcid.org/0000-0001-5482-8311"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jen-Wei Huang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043140115","display_name":"Wen\u2010Whei Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen-Whei Chang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114166989"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6759,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74988555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"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/T12496","display_name":"Color perception and design","score":0.9509999752044678,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9509999752044678,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":0.9398999810218811,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/computer-science","display_name":"Computer science","score":0.5049629807472229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3516349792480469},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33113476634025574},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32131609320640564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5049629807472229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3516349792480469},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33113476634025574},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32131609320640564}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2405.12847","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.12847","pdf_url":"https://arxiv.org/pdf/2405.12847","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.5281/zenodo.10265251","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10265251","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":"pmh:oai:arXiv.org:2405.12847","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.12847","pdf_url":"https://arxiv.org/pdf/2405.12847","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5367619426","display_name":null,"funder_award_id":"NSTC-109-2221-E-009-114-MY3","funder_id":"https://openalex.org/F4320331164","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4398230382.pdf","grobid_xml":"https://content.openalex.org/works/W4398230382.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Nowadays,":[0],"humans":[1],"are":[2,91],"constantly":[3],"exposed":[4],"to":[5,69,94,140,147],"music,":[6,22],"whether":[7],"through":[8],"voluntary":[9],"streaming":[10],"services":[11],"or":[12],"incidental":[13],"encounters":[14],"during":[15],"commercial":[16],"breaks.":[17],"Despite":[18],"the":[19,85,92],"abundance":[20],"of":[21,87,106,166],"certain":[23],"pieces":[24],"remain":[25],"more":[26],"memorable":[27,141],"and":[28,41,71,79,108,136,155],"often":[29],"gain":[30],"greater":[31],"popularity.":[32],"Inspired":[33],"by":[34],"this":[35,163],"phenomenon,":[36],"we":[37,48,90,111],"focus":[38],"on":[39],"measuring":[40],"predicting":[42,120],"music":[43,52,73,96,121,152,156],"memorability.":[44],"To":[45,84],"achieve":[46],"this,":[47],"collect":[49],"a":[50,60,104],"new":[51,164],"piece":[53],"dataset":[54],"with":[55,123],"reliable":[56],"memorability":[57,97,122],"labels":[58],"using":[59,98],"novel":[61],"interactive":[62],"experimental":[63],"procedure.":[64],"We":[65],"then":[66],"train":[67],"baselines":[68],"predict":[70],"analyze":[72],"memorability,":[74],"leveraging":[75],"both":[76],"interpretable":[77],"features":[78],"audio":[80],"mel-spectrograms":[81],"as":[82,132],"inputs.":[83],"best":[86],"our":[88],"knowledge,":[89],"first":[93],"explore":[95],"data-driven":[99],"deep":[100],"learning-based":[101],"methods.":[102],"Through":[103],"series":[105],"experiments":[107],"ablation":[109],"studies,":[110],"demonstrate":[112],"that":[113],"while":[114],"there":[115],"is":[116,126],"room":[117],"for":[118],"improvement,":[119],"limited":[124],"data":[125],"possible.":[127],"Certain":[128],"intrinsic":[129],"elements,":[130],"such":[131],"higher":[133],"valence,":[134],"arousal,":[135],"faster":[137],"tempo,":[138],"contribute":[139],"music.":[142],"As":[143],"prediction":[144],"techniques":[145],"continue":[146],"evolve,":[148],"real-life":[149],"applications":[150],"like":[151],"recommendation":[153],"systems":[154],"style":[157],"transfer":[158],"will":[159],"undoubtedly":[160],"benefit":[161],"from":[162],"area":[165],"research.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}