Overview Of Speech Based Gender Identification
by Hassam Sheikh /
2014 / English / PDF
3.1 MB Download
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.
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.
