{"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/deep-learning-for-music","title":"Deep Learning for Music","arxiv_id":"1606.04930","date":"2016-06-15","proceeding":null,"authors":["Allen Huang","Raymond Wu"],"abstract":"Our goal is to be able to build a generative model from a deep neural network\narchitecture to try to create music that has both harmony and melody and is\npassable as music composed by humans. Previous work in music generation has\nmainly been focused on creating a single melody. More recent work on polyphonic\nmusic modeling, centered around time series probability density estimation, has\nmet some partial success. In particular, there has been a lot of work based off\nof Recurrent Neural Networks combined with Restricted Boltzmann Machines\n(RNN-RBM) and other similar recurrent energy based models. Our approach,\nhowever, is to perform end-to-end learning and generation with deep neural nets\nalone.","url_abs":"http://arxiv.org/abs/1606.04930v1","url_pdf":"http://arxiv.org/pdf/1606.04930v1.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":"deep-learning-for-music","repo_url":"https://github.com/GiadaSimionato/Analysis_and_Comparison_of_Deep_Learning_Methods_for_Jazz_Music_Generation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deep-learning-for-music","repo_url":"https://github.com/sarthak15169/Deep-Music","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"density-estimation","task_name":"Density Estimation"},{"task_slug":"music-generation","task_name":"Music Generation"},{"task_slug":"music-modeling","task_name":"Music Modeling"},{"task_slug":"time-series-1","task_name":"Time Series"},{"task_slug":"time-series","task_name":"Time Series Analysis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}