Audio Signal Processing and Recognition (音訊處理與辨識)

Roger Jang (張智星)

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Table of Contents

Chapter 1: Introduction

1-1：About This Book (有關本書)
1-2：Example Programs (如何取得程式碼)
1-3：Web Resources (網路資源)

Chapter 2: MATLAB Basics

2-1：MATLAB Introduction (MATLAB入門簡介)
Chapter 2: Exercises

Chapter 3: Introduction to Audio Signals (音訊的簡介)

[Video][Slides]
3-1：Introduction to Audio Signals (音訊基本介紹)
3-2：Basic Acoustic Features (基本聲學特徵)
3-3：Human Voice Production (人聲的產生)

Chapter 4: MATLAB for Audio Signal Processing

4-1：Introduction
4-2：Reading Wave Files
4-3：Playback of Audio Signals
4-4：Recording from Microphone
4-5：Writing Audio Files
Chapter 4: Exercises

Chapter 5: Basic Acoustic Features of Audio Signals (音訊的基本聲學特徵)

[Video][Slides]
5-1：Introduction (簡介)
5-2：Volume (音量)
5-3：Zero Crossing Rate (過零率)
5-4：Pitch (音高)
5-5：Timbre (音色)
Chapter 5: Exercises

Chapter 6: End-Point Detection (EPD)

6-1：Introduction to End-Point Detection (端點偵測介紹)
6-2：EPD in Time Domain (端點偵測：時域的方法)
6-3：EPD in Frequency Domain (端點偵測：頻域的方法)
Chapter 6: Exercises

Chapter 7: Pitch Tracking

7-1：Introduction to Pitch Tracking (音高追蹤簡介)
7-2：Time-domain: PDF: ACF
7-3：Time-domain: PDF: NSDF
7-4：Time-domain: PDF: AMDF
7-5：Frequency-domain: HPS
7-6：Frequency-domain: Cepstrum
7-7：Preprocessing: Clipping & SIFT
7-8：Postprocessing: Smoothing & Interpolation
7-9：How to Increase Pitch Resolution (音高解析度的提升)
7-10：Software for Pitch Tracking (音高抓取的軟體)
Chapter 7: Exercises

Chapter 8: 音高追蹤的應用

8-1：哼唱選歌
8-2：音調評分
8-3：語音評分
8-4：音腔評分
8-5：國語音調辨識
Chapter 8: Exercises

Chapter 9: Digital Signals and Systems (數位訊號與系統)

9-1：Discrete-Time Signals (離散時間訊號)
9-2：Linear Time-Invariant Systems (線性非時變系統)
9-3：Convolution (旋積)
9-4：Eigen Functions (固有函數)

Chapter 10: Fourier Transform (傅立葉轉換)

10-1：Discrete-Time Fourier Transform (離散時間傅立葉轉換)
10-2：Discrete Fourier Transform (離散傅立葉轉換)
Chapter 10: Exercises

Chapter 11: Digital Filters

11-1：Filter Applications (濾波器應用)
11-2：Filter Design (濾波器設計)
Chapter 11: Exercises

Chapter 12: Speech Features

12-1：共振峰
12-2：MFCC
Chapter 12: Exercises

Chapter 13: Speaker Recognition (語者辨識)

13-1：Speaker Recognition
Chapter 13: Exercises

Chapter 14: Query by Singing/Humming

14-1：Introduction (簡介)
14-2：找歌？用唱的！ ─ 「哼唱選歌」簡介
14-3：Key Transposition (音調移位)
14-4：Linear Scaling (線性伸縮)
14-5：DTW of Type-1 and 2
14-6：DTW of Type-3
14-7：LCS and Edit Distance
14-8：哼唱選歌的效能改進
14-9：Exercise: QBSH via Optimum Assignment of Singing Pitch to Music Notes
Chapter 14: Exercises

Chapter 15: Query by Tapping

15-1：Introduction
15-2：Feature Extraction
15-3：Comparison Methods
Chapter 15: Exercises

Chapter 16: Audio Fingerprinting

16-1：Landmark Extraction
Chapter 16: Exercises

Chapter 17: HTK

17-1：HTK Introduction (HTK 簡介)
17-2：HTK Example: Digit Recognition (HTK 基本範例一：數字辨識)
17-3：Digit Recognition: Varying MFCC Dimensions (數字辨識：改變MFCC維度)
17-4：Digit Recognition: Changing Acoustic Models (數字辨識：改變Model單位)
17-5：Digit Recognition: Changing MFCC Dimensions and Gaussian Component Numbers (數字辨識：改變MFCC維度和Gaussian個數)
Chapter 17: Exercises

Chapter 18: 語音辨識前處理

18-1：簡介
18-2：文字標音
18-3：辨識網路
18-4：聲學模型

Chapter 19: Speech/Audio Applications in Android

19-1：Introduction

Chapter 20: ASRA Library for Speech Recognition & Assessment

20-1：Introduction
20-2：ASRA for English
20-3：ASRA for Chinese
20-4：Use ASRA within ASR Toolbox
20-5：Format of output.xml

Chapter 21: Application Case Study (應用案例說明)

21-1：Voiced Sound Detection for Polyphonic Music
21-2：Voiced Sound Detection for Singing/Humming
21-3：Vibrato detection
21-4：Coin Type Recognition
21-5：Singing Type Classification
21-6：Tone recognition
21-7：Music genre classification
21-8：Lexical stress detection
21-9：Text-dependent speaker identification

Chapter 22: Overview: 音訊處理與辨識

22-1：音訊的基本介紹
22-2：音訊的基本聲學特徵
22-3：語音辨識
22-4：哼唱選歌
22-5：結論與展望