id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_4zym37jx4jfhzm2c5o7gcjfgju	Felicia Nafeeza Persaud	In Search of Computer Music Analysis: Music Information Retrieval, Optimization, and Machine Learning from 2000-2016	2018	102	.pdf	application/pdf	26466	2000	61	In Search of Computer Music Analysis: Music Information Retrieval, Optimization, and Machine Learning In Search of Computer Music Analysis: Music Information Retrieval, Optimization, and Machine Learning including, Music Information Retrieval (MIR), Optimization, and Machine Learning. This thesis aims to critically examine specific tools in Music Information Retrieval among the three areas: Music Information Retrieval (MIR), Machine Learning, and Music Analysis like Optimization and Machine Learning. Downie in his article "Music Information Retrieval." Though this is an issue in MIR specifically, Darrell Conklin concentrates on research in Machine Learning and Music at the Conklin and Whitten describe Machine Learning, applied to music research, as follows: 2. The creation of "a general-purpose machine learning tool for music" (Conklin and aspects of Music Information Retrieval (MIR), Optimization, and Machine Learning. representation of music and the most useful audio tools for interval analysis. analysis of full works of music using complex ideas is not common in Machine Learning.	./cache/work_4zym37jx4jfhzm2c5o7gcjfgju.pdf	./txt/work_4zym37jx4jfhzm2c5o7gcjfgju.txt