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© 2014

Mathematical Modeling and Signal Processing in Speech and Hearing Sciences

  • User friendly and systematic introduction to mathematical models in speech and hearing sciences

  • Step by step analysis of models and computational methods from numerical analysis, signal processing and statistics

  • Connect mathematics and computation with speech/hearing phenomena and signal processing

  • Hands-on MATLAB programs to simulate models and analyze data, results come quickly (most of them in seconds) for seeing and hearing, directly enhancing learning experience

Book
  • 7.7k Downloads

Part of the MS&A - Modeling, Simulation and Applications book series (MS&A, volume 10)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Jack Xin, Yingyong Qi
    Pages 45-66
  3. Jack Xin, Yingyong Qi
    Pages 67-113
  4. Jack Xin, Yingyong Qi
    Pages 115-139
  5. Jack Xin, Yingyong Qi
    Pages 141-188
  6. Jack Xin, Yingyong Qi
    Pages E1-E1
  7. Back Matter
    Pages 189-208

About this book

Introduction

The aim of the book is to give an accessible introduction of mathematical models and signal processing methods in speech and hearing sciences for senior undergraduate and beginning graduate students with basic knowledge of linear algebra, differential equations, numerical analysis, and probability. Speech and hearing sciences are fundamental to numerous technological advances of the digital world in the past decade, from music compression in MP3 to digital hearing aids, from network based voice enabled services to speech interaction with mobile phones. Mathematics and computation are intimately related to these leaps and bounds. On the other hand, speech and hearing are strongly interdisciplinary areas where dissimilar scientific and engineering publications and approaches often coexist and make it difficult for newcomers to enter.

Keywords

algorithmic and data analysis analytical and computational methods hands-on MATLAB programs mathematical models of speech and hearing problems physical, biological and statistical approaches

Authors and affiliations

  1. 1.Department of MathematicsUC IrvineIrvineUSA

Bibliographic information

Reviews

From the book reviews:

“The value of the book is enforced by the fact that each chapter is accompanied with specific sections: chapter summary, MATLAB programs, proposed exercises. It is intended for students at the level of senior undergraduate and beginning graduate ones.” (Dumitru Stanomir, zbMATH, Vol. 1293, 2014)