Speaker identification based on vocal cords vibrations: effect of the window

Abstract

A new speaker identification technique was proposed and presented. It is based on the acquisition of the individuals signal of its vocal cords vibrations by attaching a piezoelectric transducer element to a collar and wrapping it around the neck. Having collected the signal, the Short Term Fourier Transform (STFT), in conjunction with a particular window, is applied on the signal to decompose it into its frequency components. Then, the resulting spectrogram is normalized, the noise is removed and the corresponding features are extracted for identification purposes. The performance of the developed approach in conjunction with various windows types (the Bartlett, the Blackman, the Hamming, the Hanning and the Rectangular windows) and windows size is studied and evaluated quantitatively. The results show that the proposed approach using the Hamming window of size 64 yields the best accuracy in the identification of the desired individuals.