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Unified View of Prediction and Repetition Structure in Audio Signals With Application to Interest Point Detection
2008
IEEE Transactions on Audio, Speech, and Language Processing
In this paper we present a new method for analysis of musical structure that captures local prediction and global repetition properties of audio signals in one information processing framework. The method is motivated by a recent work in music perception where machine features were shown to correspond to human judgments of familiarity and emotional force when listening to music. Using a notion of information rate in a modelbased framework, we develop a measure of mutual information between past
doi:10.1109/tasl.2007.912378
fatcat:lgqk4y7xwvgwhlzmlpmj4zh3am