Project

Singing Voice Parameterization and Re-synthesis

The human singing voice is the oldest musical instrument, yet it is one of the most difficult to simulate convincingly. Using signal processing and pattern-recognition techniques in combination with prior knowledge of the musical score, we are attempting to extract control parameters which capture the most perceptually significant features. This parameterized, structured model could then be efficiently transmitted and re-synthesized, resulting in a high-quality recreation of the original performance.

The human singing voice is the oldest musical instrument, yet it is one of the most difficult to simulate convincingly. Using signal processing and pattern-recognition techniques in combination with prior knowledge of the musical score, we are attempting to extract control parameters which capture the most perceptually significant features. This parameterized, structured model could then be efficiently transmitted and re-synthesized, resulting in a high-quality recreation of the original performance.