id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_5u3r7cajqbbivoevkhhea6ncgy	Vsevolod Eremenko	Automatic Harmony Analysis Of Jazz Audio Recordings	2018	70	.pdf	application/pdf	15403	1709	57	This thesis aims to develop a style specific approach to Automatic Chord Estimation and computer-aided harmony analysis for jazz audio recordings. The presented work makes a step toward expanding current Music Information Retrieval (MIR) approaches for Audio Chord Estimation task, which are currently Keywords: Jazz; Harmony; Datasets; Automatic Chord Estimation; Chroma; Compositional Data Analysis The other basis for the work is Audio Chord Estimation (ACE) task in Music Information Retrieval (MIR) field [2]. In Chapter 5 we discuss how to evaluate the performance of Automatic Chord Transcription on jazz recordings. rendering, music information retrieval (MIR) and musicology communities have created several datasets of audio recordings annotated with chord progressions. collections are used for training and evaluating various MIR algorithms (e.g., Automatic Chord Estimation) and for corpus-based research. According to numerous instructional books, and to theoretical work done by Martin [7], there are only five main chord classes in jazz: major (maj), minor (min),	./cache/work_5u3r7cajqbbivoevkhhea6ncgy.pdf	./txt/work_5u3r7cajqbbivoevkhhea6ncgy.txt