Modern Methods of Speech Processing

1. Front Matter

   Pages i-xvii

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2. Speech Coding

   1. Front Matter

      Pages 1-1

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   2. The Use of Pitch Prediction in Speech Coding

      • Ravi P. Ramachandran

      Pages 3-22

   3. Vector Quantization of Linear Predictor Coefficients

      • John S. Collura

      Pages 23-50

   4. Linear Predictive Analysis by Synthesis Coding

      • Peter Kroon, W. Bastiaan Kleijn

      Pages 51-74

   5. Waveform Interpolation

      • Jesper Haagen, W. Bastiaan Kleijn

      Pages 75-99

   6. Variable Rate Speech Coding

      • Vladimir Cuperman, Peter Lupini

      Pages 101-120

3. Speech Recognition

   1. Front Matter

      Pages 121-121

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   2. Word Spotting

      • Jan Robin Rohlicek

      Pages 123-157

   3. Speech Recognition Using Neural Networks

      • Stephen V. Kosonocky

      Pages 159-183

   4. Current Methods in Continuous Speech Recognition

      • P. S. Gopalakrishnan

      Pages 185-212

   5. Large Vocabulary Isolated Word Recognition

      • Vishwa Gupta, Matthew Lennig

      Pages 213-230

   6. Recent Developments in Robust Speech Recognition

      • B. H. Juang

      Pages 231-249

   7. How do Humans Process and Recognize Speech?

      • Jont B. Allen

      Pages 251-275

4. Speaker Recognition

   1. Front Matter

      Pages 277-277

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   2. Data fusion Techniques for Speaker Recognition

      • Kevin R. Farrell, Richard J. Mammone

      Pages 279-297

   3. Speaker Recognition Over Telephone Channels

      • Yu-Hung Kao, Lorin Netsch, P. K. Rajasekaran

      Pages 299-321

5. Text to Speech Synthesis

   1. Front Matter

      Pages 323-323

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   2. Approaches to Improve Automatic Speech Synthesis

      • Douglas O’Shaughnessy

      Pages 325-347

6. Applications of Models

   1. Front Matter

      Pages 349-349

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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. Expe­ rienced researchers can utilize this book as a reference guide and can expand their horizons in this rather broad area.

• Modulation
• Signal
• algorithms
• coding
• communication
• model
• network
• networks
• neural networks
• speech processing
• speech recognition
• speech synthesis
• wavelets

• CAIP Center, Rutgers University, USA

  Ravi P. Ramachandran, Richard J. Mammone

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