Performance of a text-independent remote speaker recognition algorithm over communication channels with blind equalisation

In this work we will present a study of the reliability of a well-known speaker recognition algorithm when using speech sent over communication channels with Channel distortion and noise. The speech features used to test and train this system are the Mel-Frequency Cepstral Coefficients. For speaker recognition applications, channel deformations can lead to serious errors in recognition if the speech is transmitted, making the algorithm unreliable for usage in telephone banking or other applications requiring a high level of security. We will study the performance and reliability of this algorithm for text-independent speaker recognition with speech sent over a communication channel. We will be using blind equalisation techniques with QPSK modulation.