Realtime binaural speech enhancement demo on raspberry Pi

Abstract

We demonstrate the feasibility of the realtime implementation of advanced binaural noise reduction algorithms in a single-chip computer called Raspberry Pi. The implementation of the considered algorithms is realized in Simulink, a graphical programming add-on to the integrated development environment Matlab. Using a complementary support pack- age for Simulink, the Raspberry Pi is connected/hosted. The implemented binaural noise reduction algorithm comprises two stages. First, the noise power spectral density (PSD) is estimated by one of the speech blocking-based noise PSD estimators previously proposed. The adaptively estimated noise PSD in each frame is then employed in a cue-preserving MMSE-based noise-reduction spectral gain function. The objective of this demonstration is to present the capabilities of the proposed algorithms with the application for hearing aids in a challenging noisy environment, i.e., congress babble noise in the show-and-tell area. The proposed solution suppresses the noise without having prior information on noise statistics, target speaker location and voice activity detection (VAD). Moreover, we would like to exhibit the powerful solution entirely executed with low-cost hardware.