Digital Speech Processing Using Matlab deals with digital speech pattern recognition, speech production model, speech feature extraction, and speech compression. The book is written in a manner that is suitable for beginners pursuing basic research in digital speech processing. Matlab illustrations are provided for most topics to enable better understanding of concepts. This book also deals with the basic pattern recognition techniques (illustrated with speech signals using Matlab) such as PCA, LDA, ICA, SVM, HMM, GMM, BPN, and KSOM.The multiplication factors (mi) to update k for the various code book numbers are chosen such that the scaled input ... Differential. Pulse. Code. Modulation. The individual frame of the speech signal (speech segment) is highly correlated.
|Title||:||Digital Speech Processing Using Matlab|
|Author||:||E. S. Gopi|
|Publisher||:||Springer Science & Business Media - 2013-12-03|