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Book

Book

# Speech Processing

DOI link for Speech Processing

Speech Processing book

# Speech Processing

DOI link for Speech Processing

Speech Processing book

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## ABSTRACT

Based on years of instruction and field expertise, this volume offers the necessary tools to understand all scientific, computational, and technological aspects of speech processing. The book emphasizes mathematical abstraction, the dynamics of the speech process, and the engineering optimization practices that promote effective problem solving in this area of research and covers many years of the authors' personal research on speech processing. Speech Processing helps build valuable analytical skills to help meet future challenges in scientific and technological advances in the field and considers the complex transition from human speech processing to computer speech processing.

## TABLE OF CONTENTS

part 1|2 pages

Part I ANALYTICAL BACKGROUND AND TECHNIQUES

chapter |5 pages

#### f_ 00 X(w) exp(7w77T 0)&7.

chapter |1 pages

#### Ex(wF — 27 b T= b

chapter |3 pages

#### r( (

chapter 3|7 pages

#### 2 Conditioning, Total Probability Theorem, and Bayes' Rule

chapter 3|7 pages

#### 5 Markov Chain and Hidden Markov Sequence

chapter |14 pages

#### Eo k,n o[nk] + v[n]. Eon(4, 00[n

chapter 4|1 pages

#### 4 Time-Varying Linear Dynamic System Model

chapter 4|5 pages

#### 5 Non-Linear Dynamic System Model

chapter |20 pages

#### f (x*), , f(x * ) EE...E

chapter |6 pages

#### a? +2 E nNf oi

chapter 5|14 pages

#### 6 Maximum Likelihood Estimation

chapter |3 pages

#### A = -, = E(010) = + c oan (HeO ' + c,„)--' ( 0 - Hp(?

chapter |1 pages

#### = (5.36) 6)(0 - 6)1

chapter |11 pages

#### e[n] = b[n — 1] + K[n](o[n] — hTr[n]i3[n — 1]) [7*(0 — e[n])11 8 State Estimation

chapter 6|2 pages

#### 1 Bayes' Decision Theory

chapter 6|15 pages

#### 2 Minimum Classification Error Criterion for Recognizer Design

part 2|2 pages

Part II FUNDAMENTALS OF SPEECH SCIENCE

chapter 8|6 pages

#### 5 Feature Geometry — Internal Organization of Speech Sounds

part 3|2 pages

Part III COMPUTATIONAL PHONOLOGY AND PHONETICS

chapter |12 pages

#### Qc(1.14.0) = E p(sior, a3t3t+, t=1 E Nt Elog aso m •

chapter 10|5 pages

#### 4 Hidden Dynamic Model Implemented Using Piece-wise Linear Approximation

chapter |1 pages

#### p({0,m} N1 0) FEL P(°n 1 171n , e)P(ma le)

chapter |3 pages

#### Q(Ole) = E E foogp(zgi.) + Epog p(xz fin ;:_ifin) +

chapter |5 pages

#### a Qx = \--, KnRma ,

chapter L|4 pages

#### P(stist_i)=HP(.014"i). p(sio=71.41)1=i)=.T.

chapter |2 pages

#### E wi, • 6 Summary

chapter |31 pages

#### _ 1/2+1 - 2Yi +Y_1 d2 ,Tx7

part 4|2 pages

Part IV SPEECH TECHNOLOGY IN SELECTED AREAS