Audio and speech processing with MATLAB

Description

Content: Cover Half Title Title Page Copyright Page Dedication Table of Contents Preface List of Acroynms Introduction 1: MATLAB® and Audio 1.1 Reading Sounds 1.2 Audio Display and Playback 1.3 Audio-Related MATLAB 1.4 Example Audio Manipulation 1.5 Summary 1.6 Exercises 2: Core Concepts 2.1 Introduction 2.2 Natural Vibrations and Sinusoids 2.3 Complex Numbers for Signal Processing 2.4 Simple Operations with Complex Numbers 2.5 Discrete Time Signals 2.6 Sampling 2.7 The Z Transform 2.8 Digital Filters: The Z Transform Representation 2.9 Machine Learning* 2.10 Supervised Learning2.11 Optimal Statistical Classification 2.12 The Analysis of Speech Signals 2.13 Summary 2.14 Exercises Bibliography 3: Frequency Analysis for Audio 3.1 Introduction 3.2 Fourier Analysis 3.3 The Fourier Transform* 3.4 The Fourier Series* 3.5 The Discrete-Time Fourier Transform* 3.6 The Discrete Fourier Transform (DFT) 3.7 Forward and Backwards Transform for the Four Types of Fourier Transforms* 3.8 Example Discrete Fourier Transform* 3.9 The Fast Fourier Transform: FFT* 3.10 Windowing to Decrease Spectral Leakage and Improve Frequency Resolution* 3.11 The Fast Fourier Transform (FFT): Its Use in MATLAB*3.12 Zero Padding the FFT 3.13 Short-Term Fourier Transform: STFT 3.14 Frequency Domain Audio Processing Using the STFT and the Inverse STFT 3.15 MATLAB Implementation of Perfect Reconstruction Discrete STFT 3.16 Audio Spectrograms 3.17 Spectrogram Using MATLAB 3.18 Summary 3.19 Exercises Bibliography 4: Acoustics 4.1 Introduction 4.2 Wave Equation: Stretched String Attached at Both Ends* 4.3 Wave Equation: Vibrating Stretched String Solution* 4.4 Wave Equation: Reflection From a Fixed End* 4.5 Wave Equation: String Vibration Fixed at Two Ends*4.6 Wave Equation: Vibrating Air Column 4.7 Wave Equation: Vibrating Column of Air (Open at One End) Solution 4.8 Room Acoustics 4.9 Exercises 5: The Auditory System 5.1 The Peripheral Auditory System 5.2 Auditory Filters: Introduction 5.3 Critical Bands 5.4 Critical Band Models 5.5 Relationship Between Filter Shape and the Masking Functions Used for Compression 5.6 Properties of the Auditory Neurons* 5.7 Summary 5.8 Exercises Bibliography 6: Fundamentals of Psychoacoustics 6.1 Subjective Characteristics of Audio Signals 6.2 Loudness6.3 Equal Loudness Curves 6.4 Audio Masking 6.5 Perception of Pitch 6.6 Psychoacoustics Summary 6.7 Exercises Bibliography 7: Audio Compression 7.1 Introduction 7.2 Filterbanks for Audio Compression 7.3 Perfect Reconstruction Filter-Banks 7.4 MPEG1 Audio Compression Layers 7.5 MPEG1 Audio Codec Structure 7.6 MPEG1 Audio Compression Psychoacoustic Models 7.7 MPEG1 Audio Compression: Bit Coding 7.8 Contemporary Wideband Audio Codecs 7.9 Lossless Audio Codecs 7.10 Summary 7.11 Exercises Bibliography 8: Automatic Speech Recognition: ASR