{"id":"https://openalex.org/W4384342675","doi":"https://doi.org/10.1007/s11036-023-02170-2","title":"Music Track Recommendation Using Deep-CNN and Mel Spectrograms","display_name":"Music Track Recommendation Using Deep-CNN and Mel Spectrograms","publication_year":2023,"publication_date":"2023-07-14","ids":{"openalex":"https://openalex.org/W4384342675","doi":"https://doi.org/10.1007/s11036-023-02170-2"},"language":"en","primary_location":{"id":"doi:10.1007/s11036-023-02170-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11036-023-02170-2","pdf_url":null,"source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","raw_type":"journal-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/A5070505284","display_name":"Tingrong Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I916048824","display_name":"Hunan First Normal University","ror":"https://ror.org/00s9d1a36","country_code":"CN","type":"education","lineage":["https://openalex.org/I916048824"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tingrong Yin","raw_affiliation_strings":["School of Music and Dance, Hunan First Normal University, Hunan, 410002, China"],"affiliations":[{"raw_affiliation_string":"School of Music and Dance, Hunan First Normal University, Hunan, 410002, China","institution_ids":["https://openalex.org/I916048824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5070505284"],"corresponding_institution_ids":["https://openalex.org/I916048824"],"apc_list":null,"apc_paid":null,"fwci":1.4094,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82088443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"6","first_page":"2130","last_page":"2137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9997000098228455,"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":0.9997000098228455,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9729999899864197,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9623000025749207,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8890612125396729},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.8659379482269287},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6441947221755981},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5233016610145569},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5212581753730774},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5078948140144348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5052672028541565},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49846816062927246},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4687528610229492},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45674481987953186},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4369080364704132},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42097800970077515},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41636693477630615},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.41551804542541504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3230246305465698},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32013368606567383},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15084603428840637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8890612125396729},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.8659379482269287},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6441947221755981},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5233016610145569},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5212581753730774},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5078948140144348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5052672028541565},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49846816062927246},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4687528610229492},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45674481987953186},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4369080364704132},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42097800970077515},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41636693477630615},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.41551804542541504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3230246305465698},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32013368606567383},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15084603428840637},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11036-023-02170-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11036-023-02170-2","pdf_url":null,"source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1967557308","https://openalex.org/W2024095636","https://openalex.org/W2587040670","https://openalex.org/W2610932492","https://openalex.org/W2747932385","https://openalex.org/W2764159532","https://openalex.org/W2801992635","https://openalex.org/W2810169203","https://openalex.org/W2810734443","https://openalex.org/W2895527213","https://openalex.org/W2921295246","https://openalex.org/W2974699933","https://openalex.org/W3000748319","https://openalex.org/W3004064628","https://openalex.org/W3092205855","https://openalex.org/W3146220152","https://openalex.org/W4281568232","https://openalex.org/W4288083766"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W2103058005"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-01-25T23:04:38.658462","created_date":"2025-10-10T00:00:00"}
