Speaker Recognition and Fast Fourier Transform

This paper makes available a concise review of to present analysis of speech signal and Fourier transform to representation, for Speaker recognition Technology. Fast Fourier transform used to find the dissimilarity among speakers and speech signals make use of to validate the effectiveness of present methods. Voice have individual characteristic for every human, hence to recognize the human by their voice is a useful technique in recent time and this technique come in to the category of biometric and called Speaker Recognition technology. Spectrum analysis of a 'speech signal' is the method of shaping the 'frequency domain representation' of a time domain signal and this method usually known as Fourier transform. The Discrete Fourier Transform (DFT) is used to find out the frequency content of analog signals. And Fast Fourier Transform (FFT) is a competent process for calculating the DFT.