Visual Representations of Speech Signals provides a unique snapshot of the state of the art in speech visualization. By presenting a wide range of graphical representations of the same speech signals, the book allows current speech analysis techniques to be assessed and directly compared. Time-frequency representations, auditory modelling, neural networks, pitch and multi-channel analysis - these important forms of speech analysis are described by five introductory chapters. The myriad images which feature throughout the book represents the study of over 40 different analysis of speech.
Table of Contents
PARTIAL TABLE OF CONTENTS:
Advanced Time-Frequency Representations for
Speech Processing (P. Loughlin, et al.).
Auditory-Based Wavelet Representation (C.
Distortion Maps for Speech Analysis (M.
Falcone, et al.).
Phase Representations of Acoustic Speech
Waveforms (E. Keller).
Speech Analysis Using Higher-Order Statistics
(J. Vidal, et al.).
Group Delay Processing of Speech Signals (B.
Yegnanarayana & V. Ramachandran).