Application of DWT Algorithm for Usable Speech Extraction Processing with Simulation Results

Co-channel speech signal is generated when two or more people are talking at the same time over the same channel. Segments of co-channel speech that are still usable for speech processing algorithms are known as usable” speech. Usable speech is a context-dependent concept, so we consider usable speech extraction in speaker identification application. So far many algorithms are proposed for usable speech extraction [6-8]. The common feature of all existing algorithms is that they exploit the periodical property of the usable frames, in time domain or in frequency domain. In this paper, we propose a discrete wavelet transform (DWT) based algorithm to exploit the periodical property of speech frames. The proposed algorithm is used in two different cases: first, in the voiced detection algorithm and second, in the usable speech extraction algorithm. To evaluate the proposed algorithm, the simulation results are presented in the paper. The simulation results show that the proposed algorithm has 3% improvement in usable speech detection compared with other algorithms.

Keywords:

component: co-channel speech , usable speech , DWT