A Stochastic Model Of Singing Voice F-0 Contours For Characterizing Expressive Dynamic Components

We present a novel stochastic model of singing voice fundamental frequency (F-0) contours for characterizing expressive dynamic components, such as vibrato and portamento. Although dynamic components can be important features for any singing voice applications, modeling and extracting these components from a raw F-0 contour have yet to be accomplished. Therefore, we describe a process for generating dynamic components explicitly and represent the process as a stochastic model. Then we develop an algorithm for estimating the model parameters based on statistical techniques. Experimental results show that our method successfully extracts the expressive components from raw F-0 contours.