Singing Voice Interest Group

h1. Source-filter models and deep learning models for voice synthesis

h2. Devansh Zurale

h2. Abstract

The relationship and, under certain conditions equivalence, between LPC and a piecewise cylindrical waveguide (or Kelly-Lochbaum) model of the vocal tract is found to be largely tied to the lip reflection and transmission. Herein, I will review the elements of a piecewise waveguide model. The obtained corresponding transfer functions are presented for two cases, one in which the boundary losses are scalar, showing a more obvious relationship to the all-pole LPC estimation, and one in which the lip reflection is frequency dependent, which introduces a zero in the transfer function and a more obfuscated relationship to LPC. Furthermore, I will review some state of the art glottal flow inversion methods while shedding some light on the importance of the lip radiation filter in the accuracy of these methods.

h2. Bio

I am currently pursuing a Ph.D. in Computer Music at the University of California, San Diego. I previously did my Masters in Music Technology from Carnegie Mellon University. My primary research interest has been singing voice analysis and synthesis through a deeper understanding of the source-filter theory. I am now also delving in the area of spatial audio, specifically towards exploring some deep learning methods for HRTF personalization. In addition to my academic side, I am a trained Hindustani Classical vocalist. I also play the keyboard and the drums and I find an interest in a wide variety of music genres. I find that jazz and Indian classical genres of music go really well with each other and I enjoy performing and listening to music that intersects the two.