Automatic Speaker Identification System Using Gaussian Mixture Model

This project aims to design an Automatic Speaker Identification System Using Gaussian
Mixture Model. Silence removal ,Speech denoising, Framing Windowing Fast Fourier Transform Preemphasis operation are performed in preprocessing step to remove wanted distortions present in the speech signal. Uniform filter bank and non uniform filter banks are designed to
extract the features from the speech signal. Different Gausssian mixture models are used to analyze the accuracy of the system
This project is implemented using Matlab software and Phython.
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