This book focuses on the basics of natural language processing and machine learning required to
make a standard speech- based gender identification system. In this book all the required
signal processing techniques required for understanding the basics of natural language
processing including all types of Fourier transform basic speech enhancement techniques voice
activity detection and pitch estimation using sub harmonic-to-harmonic ratio are briefly
explained as well. In the machine learning part all the relevant machine learning models like
Support Vector Machines Gaussian Mixture Models and Adaptive boosting are explained. Lastly
the results of different gender identification systems that were implemented using state of the
art techniques are portrait and analysed.
