# **Digital Speech Processing**
###### tags: `NTU` `course` `Tech`

老師: 李琳山
Textbook: 自備投影片
2018 期中考統整(L1-L8)
2018 期末考統整(L9-L18)

# Keyword (1)

# Chapter1
**L1 Digital Speech Processing**


# Chapter2
**L2 Fundamentals of Speech Recognition 語音識別基礎知識**


# Chapter3
**L3 Map of Subject Areas 學科領域地圖**
有畫圈的代表有做過、其他的可能參考其他人的

# Chapter4
**L4 More about Hidden Markov Models**


# Chapter5
**L5 Acoustic Modeling 聲學**


# Chapter6
**L6 Language Modeling 語言模型**


# Chapter7
**L7 Speech Signals and Front-end Processing 語音信號和前端處理**


# Chapter8
**L8 Search Algorithms for Speech Recognition 用於語音識別的搜索算法**


# Keyword (2)

# Chapter9
**L9 Speech Recognition Updates**

# Chapter10
**L10 Speech-based Information Retrieval**


# Chapter11
**L11 User-content Interaction**


# Chapter12
**L12 Computer-Assisted Language Learning (CALL)**


# Chapter13
**L13 Speaker Variabilities**


# Chapter14
**L14 Linguistic Processing and Latent Topic Analysis**


# Chapter15
**L15 Robustness for Acoustic Environment**


# Chapter16
**L16 EM Algorithm**


# Chapter17
**L17 Spoken Dialogues**


# Chapter18 Conclusion

**語音辨識特跨相當大領域的，因此門檻較高、語音界人才相當少，因此搶人搶得很兇。核心的兩個關鍵: 數學式跟程式。語音也是人與人之間最大依賴的能力，且同種意思經由不同人講的也會不一樣，且又有上千種語言**