Wyniki wyszukiwania:

Master's Thesis from the year 2013 in the subject Computer Science - Miscellaneous, grade: A+, University of Manchester, language: English, abstract: The aim of this project was to create a gender identification system that can be used to identify the gender of the speaker. In this dissertation I have explained the signal processing background such as Fourier transforms and DCT etc. that was needed to understand the underlying signal processing happening in digital devices. Apart from that I also investigated the different classification techniques such as Adaboost and Gaussian Mixture Models...

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...

This book is based on an undergraduate thesis at University of Engineering and Technology, Lahore. In this book we have presented our work on a humanoid robot that had the ability to perform basic human tasks like listening and responding to people's question, differentiate between known and unknown people, recognize their emotional states and recognize different objects. In this book we have completely described the working and the building process of implementing a basic humanoid robot.