Robust Speaker Recognition in Reverberant Condition

Zusatztext

Over the last few years, the use of online social networks has increased exponentially, and some of these "virtual communities" are among the most visited sites on the Internet. With this boom in popularity has also come a rise in the need for marketing within these spaces, and very little academic literature exists on howto best utilize this new and budding arena for advertising ventures. Traditional business approaches to marketing are no longer adequate, as online environments have completely radicalized the advertising landscape. This book, therefore, Identify The main aim of this study is to improve the robustness of speaker recognition systems for real-world applications in reverberant conditions by developing methods that can reduce the detrimental effects of reverberation on the single microphone speech signal.

Autorenportrait

Educational Qualifications- PhD from School of Computing, Science and Engineering, University of Salford, United Kingdom (Robust Speaker Recognition in Reverberant Condition-Toward Greater Biometric Security)- MSc. Computer science, Pune University, India - BSc. computer science, Baghdad University, Iraq

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