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.3.11 Discrete Wavelet Transformation Discrete wavelet transformation (DWT) consists of ... (a) (b) (c) (d) (e) (f) 124 3 Feature Extraction of the Speech Signal 3.10.1 Time Resolution Versus Frequency Resolution in Spectrogram 3.11 Discreteanbsp;...
|Title||:||Digital Speech Processing Using Matlab|
|Author||:||E. S. Gopi|
|Publisher||:||Springer Science & Business Media - 2013-12-03|