Dual-Channel Speech Enhancement Using a Perceptual Filterbank for Hands-Free Communication

We investigate a dual-channel speech enhancement method using perceptual adaptive noise suppressor, which improves perceptual quality of speech in automobile environment for hands-free communication. In particular, the perceptual adaptive noise suppressor, which is composed of a Mel-based perceptual filterbank, an adaptive filter, and a speech modification block, estimates the envelope of the desired speech by suppressing the nonspeech components. Experiments indicate that the proposed scheme shows 8.06 dB of NR improvement and 0.70 of PESQ score improvement compared to the Transfer Function Generalized Sidelobe Canceller structure alone.