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邏輯學,工程
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10401 數位聲訊分析與合成

2015-09-01-2016-01-01

國立清華大學 電機工程學系 劉奕汶

關鍵字: 數位聲訊分析與合成(Analysis and synthesis of digital audio signals) 離散時間傅立葉轉換 (Discrete Time Fourier Transform) 線性非時變系統 (Linear Time-Invariant) 窗函數在頻域分析上的效應(Windowing effects with frequency analysis) 頻譜估計(Spectral Estimation ) 音高之聽覺生理基礎(Physiological Basis for Pitch Percept ) 費希爾訊息(Fisher Information )

介紹信號處理在音樂、語音、或其他日常生活中聽得到的聲訊中的應用:包含分析與合成兩大部分。學生修完本課程,應能對這個領域的核心技術、背景觀念有充分理解......

 

【課程介紹】
      
 
 Course Description 
 介紹信號處理在音樂、語音、或其他日常生活中聽得到的聲訊中應用:

包含分析與合成兩大部分。學生修完本課程,應能對這個領域的核心技術、背景觀念有充分理解,並對本領域新研究課題有所接觸,以期激發創造力,針對有興趣的課題作更深入的實作研究。建議學生須具備撰寫MATLAB或其他程式語言的能力。
  
預修課程
 信號與系統,線性代數, 或由授課老師許可. 亦歡迎有興趣之大學部高年級同學選修.

 
To introduce application of signal processing methods in music,language, and other sounds in
 
daily life, including two major parts: sound analysis and sound
synthesis. After taking this course, students should be familiar with the core
techniques and background knowledge in this field. Also, current research topics
will be selectively covered. Final projects are required and students are
encouraged to be creative. Prerequisite: Signals and Systems, Linear Algebra, or
consent by the instructor. Undergraduates in junior or senior years are also
welcome to take this course.
  
  
 
【參考資料】
      
  References
講義與討論文獻將隨課程之進行而發出。 
Lecture notes and papers for group discussion will be handed out 

throughout the semester.
  
 
 
【教學方式】
      
  Teaching Method
  Lectures (2 hours/week) and group discussion (1 hour/week). 
  
 
 
【課程大綱】
        
Syllabus  
Part I   (6 weeks)Fourier Transform and applications, estimation problems  

and solutions
Part II  (6 weeks)Music and Speech
Part III (3 weeks)Physiology, psychology, and biomedical applications
  

 

 

前往課程 View Course
http://ocw.nthu.edu.tw/ocw/index.php?page=course&cid=130&
https://www.youtube.com/watch?v=qSBFGHBrH18&list=PLS0SUwlYe8cyCg7vJoG33pn0T-nE47Ulz