{"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/this-time-with-feeling-learning-expressive","title":"This Time with Feeling: Learning Expressive Musical Performance","arxiv_id":"1808.03715","date":"2018-08-10","proceeding":null,"authors":["Sageev Oore","Ian Simon","Sander Dieleman","Douglas Eck","Karen Simonyan"],"abstract":"Music generation has generally been focused on either creating scores or\ninterpreting them. We discuss differences between these two problems and\npropose that, in fact, it may be valuable to work in the space of direct $\\it\nperformance$ generation: jointly predicting the notes $\\it and$ $\\it also$\ntheir expressive timing and dynamics. We consider the significance and\nqualities of the data set needed for this. Having identified both a problem\ndomain and characteristics of an appropriate data set, we show an LSTM-based\nrecurrent network model that subjectively performs quite well on this task.\nCritically, we provide generated examples. We also include feedback from\nprofessional composers and musicians about some of these examples.","url_abs":"http://arxiv.org/abs/1808.03715v1","url_pdf":"http://arxiv.org/pdf/1808.03715v1.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":"this-time-with-feeling-learning-expressive","repo_url":"https://github.com/Chatha-Sphere/pno-ai","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"this-time-with-feeling-learning-expressive","repo_url":"https://github.com/VasanthManiVasi/MusicTransformer.jl","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"this-time-with-feeling-learning-expressive","repo_url":"https://github.com/khasanovaa/Sonia","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"this-time-with-feeling-learning-expressive","repo_url":"https://github.com/ololo123321/maestro","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"this-time-with-feeling-learning-expressive","repo_url":"https://github.com/Natooz/MidiTok","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"music-generation","task_name":"Music Generation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1808.03715","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}