Recognition of Modulated Speech over OFDMA

This paper presents an analysis of the error associated with speech after it has been processed using QAM modulation and sent through an IFFT/FFT OFDM transmission system. The main focus will be on how this type of modulation and transmission system will affect the unique features of speech used for speaker recognition and verification systems. Channel deformations can lead to serious errors in speech feature, which would result in recognition and verification algorithms becoming unreliable for secure applications. We will use the well-known mel-frequency cepstral feature extraction algorithm to extract the speaker dependent features before and after the speech is modulated and sent over a noisy communication channel for comparison in our study