47 - Reduction of general broad-band noise in speech by truncated QSVD: Implementation aspects

Abstract

In many speech processing applications an appropriate filter is needed to remove noise. The truncated singular value decomposition (SVD) technique has a noise filtering effect and, provided that the noise is white, it can be applied directly in noise reduction algorithms. However, for non-white broad-band noise a pre-whitening operation is necessary. This chapter focuses on implementation aspects of a newly proposed quotient singular value decomposition (QSVD)-based algorithm for reduction of general broad-band noise in speech. A distinctive advantage of the algorithm is that the pre-whitening operation is an integral part of the algorithm, and this is essential in connection with updating issues in real-time applications. The chapter compares the existing implementation (based on the QSVD) with an implementation based on the ULLV decomposition that can be updated at a low cost.