A Novel Study of Biometric Speaker Identification Using Neural Networks and Multi-Level Wavelet Decomposition

Researchers in voice and speaker recognition systems has been entered a new stage. The overall researches concern on trials to enhance the accuracy and precession of the developed system techniques, especially in intelligent systems. The use of Digital Signal Processing (DSP) with cooperation of Artificial Intelligence (AI) is common in such researches. But the main inertia in that is to developing the algorithm in trial and error in most cases. This research aims to find the hot spot points in merging specific techniques of DSP with AI. Neural networks based speaker recognition was been developed in order to test the results of the proposed algorithm and record the study results. Multi-level decomposition of wavelet transformation is adopted to extract the features of the speaker person. The feature extraction using wavelet transformation is studied and this paper determines the best level and condition of applying that technique.