Real Time Speaker Identification

This book presents the real time speaker identification system using artificial neural network. This system takes the speech signal as its input. The input signal is then filtered to remove noise. After preprocessing, frame blocking and windowing the features are obtained using signal processing techniques. The extracted feature is then fed to the multilayer back propagation neural network as input. Thus the network is trained and creates a knowledge base for identification. The same procedures are applied for identification but the only difference is that the neural network uses the previously learned weights to calculate the output.

Autorentext

Boshir Ahmed is an assistant professor in the department of Computer Science & Engineering at Rajshahi University of Engineering & Technology (RUET), Bangladesh. His research interests include Digital Image Processing, Digital Signal Processing, Microprocessor Based System Design, Digital System Design and Computer Networking.