An advanced channel compensation method for speaker recognition
Yadigar İmamverdiyev, Lyudmila V. Sukhostat · 2013
This paper discusses various methods for channel compensation to effectively reduce errors in speech data transmitted through different channels in order to increase the accuracy of speaker recognition system. The aim of this paper is to analyze and evaluate the channel distortions and noise effects on speech. Methods used for channel equalization and compensation in order to improve the efficiency of speaker verification and identification systems over various communication channels are described. A scalable approach for probabilistic linear discriminant analysis for speaker recognition is presented.