A new regularized forward blind source separation algorithm for automatic speech quality enhancement

Abstract

Abstract This paper addresses the problem of speech enhancement and acoustic noise reduction by adaptive filtering algorithms in a moving car through blind source separation (BSS) structures. In this paper we propose a new regularized forward blind source separation (RFBSS) algorithm that does not need voice activity detection (VAD) systems, and allows getting efficient speech enhancement performances with low complexity. The proposed RFBSS algorithm is compared with recent and classical speech enhancement algorithms in different noisy conditions. This comparison is evaluated in terms of Cepstral distance (CD), the system mismatch (SM) and the Segmental signal-to-noise ratio (SegSNR) criteria. The obtained results show the efficiency of the proposed algorithm and its superiority in comparison with competitive algorithms in speech enhancement applications.