MIT 21M.383 Computational Music Theory and Analysis, Spring 2023 - Class 31 Video: Music Visualization and Optical Music Recognition

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23.5 hours of video
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21m-383-computational-music-theory-and-analysis-spring-2023 deep learning gap fill omr palestrina

Full Transcript

MIT 21M.383 Computational Music Theory and Analysis Spring 2023 Instructor: Michael Scott Asato Cuthbert View the complete course: https://ocw.mit.edu/courses/21m-383-computational-music-theory-and-analysis-spring-2023/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62vSB2sI0W8lQFKsmS2-A6R Analysis of gap fill in species counterpoint and other corpora, image to score, music theory knowledge and inaccuracies in optical music recognition (OMR), and ways to optimize and correct for these errors. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu Support OCW at http://ow.ly/a1If50zVRl We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

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