Ramachandran R.P., Mammone R.J. (eds.) Modern Methods of Speech Processing

Kluwer, 1995. — 471 p.The term speech processing refers to the scientific discipline concerned with the analysis and processing of speech signals for getting the best benefit in various practical scenarios. These different practical scenarios correspond to a large variety of applications of speech processing research. Examples of some applications include enhancement, coding, synthesis, recognition and speaker recognition. A very rapid growth, particularly during the past ten years, has resulted due to the efforts of many leading scientists. The ideal aim is to develop algorithms for a certain task that maximize performance, are computationally feasible and are robust to a wide class of conditions.
The purpose of this book is to provide a cohesive collection of articles that describe recent advances in various branches of speech processing. The main focus is in describing specific research directions through a detailed analysis and review of both the theoretical and practical settings. The intended audience includes graduate students who are embarking on speech research as well as the experienced researcher already working in the field. For graduate students taking a course, this book serves as a supplement to the course material. As the student focuses on a particular topic, the corresponding set of articles in this book will serve as an initiation through exposure to research issues and by providing an extensive reference list to commence a literature survey. Experienced researchers can utilize this book as a reference guide and can expand their horizons in this rather broad area.Speech Coding
The Use of Pitch Prediction in Speech Coding
Vector Quantization of Linear Predictor Coefficients
Linear Predictive Analysis by Synthesis Coding
Waveform Interpolation
Variable Rate Speech Coding
Speech Recognition
Word Spotting
Speech Recognition using Neural Networks
Current Methods in Continuous Speech Recognition
Large Vocabulary Isolated Word Recognition
Recent Developments in Robust Speech Recognition
How Do Humans Process And Recognize Speech?
Speaker Recognition
Data Fusion Techniques for Speaker Recognition
Speaker Recognition Over Telephone Channels
Text to Speech Synthesis
Approaches to Improve Automatic Speech Synthesis
Applications of Models
Microphone Array for Hands-Free Voice Communication in a Car
The Pitch Mode Modulation Model and Its Application in Speech Processing
Auditory Models and Human Performance in Tasks Related to Speech Coding and Speech Recognition
Applications of Wavelets to Speech Processing: A Case Study of a CELP Coder