Inventory based speech enhancement for speaker dedicated speech communication systems

We are presenting a method for the enhancement of speech in speaker dedicated speech communication systems. The proposed procedure is fundamentally different from most state-of-the-art filtering approaches. Instead of filtering a distorted signal we are re-synthesizing a new “clean” signal based on its likely characteristics. These characteristics are estimated from the distorted signal. We present a successful implementation of the proposed method for a communication system for which speaker enrollment and noise enrollment are feasible. Forty minutes of clean speech training data is usually sufficient for successful denoising. The proposed method compares very favorably to other state-of-the-art systems in both objective and subjective speech quality assessments.