音頻信號處理與識別Audio Signal Processing and Recognition

發布時間：2010-12-4 11:14 發布者：topcircuit

關鍵詞：音頻

有中文翻譯的

audio processing中文版.pdf (4.01 MB)

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)
2-2：Structure Arrays
Chapter 2: Exercises
Chapter 3: Introduction to Audio Signals (音訊的簡介)
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 Features of Audio Signals (音訊的基本特徵)
5-1：Volume (音量)
5-2：Zero Crossing Rate (過零率)
5-3：Pitch (音高)
5-4：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：ACF
7-3：AMDF
7-4：SIFT
7-5：HPS
7-6：Cepstrum
7-7：How to Increase Pitch Resolution (音高解析度的提升)
7-8：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：旋律辨識
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: Dynamic Programming
14-1：Introduction to Dynamic Programming (動態規劃)
14-2：Longest Common Subsequence
14-3：Edit Distance
14-4：Dynamic Time Warping
Chapter 14: Exercises
Chapter 15: Hidden Markov Models (HMM)
15-1：Introduction (簡介)
15-2：Discrete HMM
15-3：Continuous HMM
Chapter 15: Exercises
Chapter 16: Methods for Melody Recognition
16-1：Introduction (簡介)
16-2：Key Transposition (音調移位)
16-3：Linear Scaling (線性伸縮)
16-4：DTW of Type-1 and 2
16-5：DTW of Type-3
16-6：LCS and Edit Distance
16-7：旋律辨識的效能改進
Chapter 16: Exercises
Chapter 17: Query by Tapping
17-1：Introduction
17-2：Feature Extraction
17-3：Comparison Methods
Chapter 17: Exercises
Chapter 18: HTK
18-1：HTK Introduction (HTK 簡介)
18-2：HTK Example: Digit Recognition (HTK 基本範例一：數字辨識)
18-3：Digit Recognition: Varying MFCC Dimensions (數字辨識：改變MFCC維度)
18-4：Digit Recognition: Changing Acoustic Models (數字辨識：改變Model單位)
18-5：Digit Recognition: Changing MFCC Dimensions and Gaussian Component Numbers (數字辨識：改變MFCC維度和Gaussian個數)
Chapter 18: Exercises
Chapter 19: 語音辨識前處理
19-1：簡介
19-2：文字標音
19-3：辨識網路
19-4：聲學模型
Chapter 20: Speech/Audio Applications in Android
20-1：Introduction
Chapter 21: ASRA Library for Speech Recognition & Assessment
21-1：Introduction
21-2：ASRA for English
21-3：ASRA for Chinese
21-4：Use ASRA within ASR Toolbox
21-5：Format of output.xml

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