Abstract
Vibrato is one of the most common techniques in musical performances for enriching the sound. We propose a novel method that automatically detects vibrato in monophonic music. It is based on modeling the probability of vibrato existence using three vibrato parameters, i.e., the vibrato rate, extent, and intonation. Experiments using various musical instrument tones and the solo performance show the effectiveness of the method. The proposed method can be applied to music recognition such as the wav-to-midi conversion.
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