Overview of Speech Based Gender Identification - Sheikh, Hassam
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
The author holds a Master degree in Advanced Computer Science with specialization in artificial intelligence from the University of Manchester. Before that he went to the University of Engineering and Technology, Lahore where he earned his undergraduate degree in Computer Engineering. His research interest lies in applying machine learning techniques to speech and vision systems.