{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/convolutional-recurrent-neural-networks-for-1","title":"Convolutional Recurrent Neural Networks for Music Classification","arxiv_id":"1609.04243","date":"2016-09-14","proceeding":null,"authors":["Keunwoo Choi","George Fazekas","Mark Sandler","Kyunghyun Cho"],"abstract":"We introduce a convolutional recurrent neural network (CRNN) for music\ntagging. CRNNs take advantage of convolutional neural networks (CNNs) for local\nfeature extraction and recurrent neural networks for temporal summarisation of\nthe extracted features. We compare CRNN with three CNN structures that have\nbeen used for music tagging while controlling the number of parameters with\nrespect to their performance and training time per sample. Overall, we found\nthat CRNNs show a strong performance with respect to the number of parameter\nand training time, indicating the effectiveness of its hybrid structure in\nmusic feature extraction and feature summarisation.","url_abs":"http://arxiv.org/abs/1609.04243v3","url_pdf":"http://arxiv.org/pdf/1609.04243v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/keunwoochoi/icassp_2017","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/JerryKwon/melon_plylst_continuation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/TejInaco/multimodalML","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/andresmanzalini/ClasificacionGeneroMusical_DL","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/beerzyp/ECAC-Bimodal_audiovisual_recognition","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/beerzyp/ECAC-Chain-Fusion","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/colesturza/CSCI4622-Project","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/dbalaji5/audiotagging","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/keunwoochoi/MSD_split_for_tagging","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/keunwoochoi/music-auto_tagging-keras","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/maysa96/music_tagger_mine2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/tima0476/final_timothy_mason_csci5922_s20","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"convolutional-recurrent-neural-networks-for-1","repo_url":"https://github.com/vvnkumar1965/chitti","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"music-classification","task_name":"Music Classification"},{"task_slug":"music-tagging","task_name":"Music Tagging"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}