Speech Spectrum Analysis

1. Front Matter

   Pages i-xiii

   PDF

2. Introduction

   • Sean A. Fulop

   Pages 1-4

3. Phonetics and Signal Processing

   • Sean A. Fulop

   Pages 5-40

4. History of Speech Spectrum Analysis

   • Sean A. Fulop

   Pages 41-68

5. The Fourier Power Spectrum and Spectrogram

   • Sean A. Fulop

   Pages 69-106

6. Alternative Time–Frequency Representations

   • Sean A. Fulop

   Pages 107-125

7. The Reassigned Spectrogram

   • Sean A. Fulop

   Pages 127-165

8. Linear Prediction and ARMA Spectrum Estimation

   • Sean A. Fulop

   Pages 167-201

9. Back Matter

   Pages 203-206

   PDF

The accurate determination of the speech spectrum, particularly for short frames, is commonly pursued in diverse areas including speech processing, recognition, and acoustic phonetics. With this book the author makes the subject of spectrum analysis understandable to a wide audience, including those with a solid background in general signal processing and those without such background. In keeping with these goals, this is not a book that replaces or attempts to cover the material found in a general signal processing textbook. Some essential signal processing concepts are presented in the first chapter, but even there the concepts are presented in a generally understandable fashion as far as is possible. Throughout the book, the focus is on applications to speech analysis; mathematical theory is provided for completeness, but these developments are set off in boxes for the benefit of those readers with sufficient background. Other readers may proceed through the main text, where the key results and applications will be presented in general heuristic terms, and illustrated with software routines and practical "show-and-tell" discussions of the results. At some points, the book refers to and uses the implementations in the Praat speech analysis software package, which has the advantages that it is used by many scientists around the world, and it is free and open source software. At other points, special software routines have been developed and made available to complement the book, and these are provided in the Matlab programming language. If the reader has the basic Matlab package, he/she will be able to immediately implement the programs in that platform---no extra "toolboxes" are required.

• Best parametric approach
• DSP
• Fourier Power Spectrum
• Matlab
• Praat
• Wavelets
• linear Prediction

From the reviews:

“This book covers a range of techniques for analysing speech spectra, reporting on the advantages and disadvantages of each method and describing the problems that may be encountered. … the book provides a valuable overview of the history and current status of spectral analysis, offering some excellent material that many researchers will find exceptionally useful. … this book can offer an enhanced understanding about some of these issues for students and researchers involved in speech analysis.” (David Deterding, Journal of the International Phonetic Association, Vol. 43 (1), 2013)

• , Department of Linguistics, California State University, Fresno, Fresno California, USA

  Sean A. Fulop

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