1. 課程說明(course desc<x>ription)：
<br>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
<br>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
<br>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
<br>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)
<br>**本年度將進行翻轉教學。**
<br>
<br>To introduce application of signal processing methods in music, language, and 
<br>other sounds in daily life, including two major parts: sound analysis and sound 
<br>synthesis. After taking this course, students should be familiar with the core 
<br>techniques and background knowledge in this field. Also, current research topics 
<br>will be selectively covered. Final projects are required and students are 
<br>encouraged to be creative. Prerequisite: Signals and Systems, Linear Algebra, or 
<br>consent by the instructor. Undergraduates in junior or senior years are also 
<br>welcome to take this course.
<br>** This year we will attempt the flipped-classroom learning method **
<br>
<br>2.  Textbook: None. Lecture videos can be found here -> https://tinyurl.com/liuaudio
<br>
<br>3. References:
<br>本學期打算嘗試以實務/專案為導向的教學互動方式。除了MATLAB 的作業以外，我希望全班學會使用 python 的
<br>pyaudio 進行簡單的即時音訊處理程式撰寫，另外還打算引入superCollider 這個電腦音效／音樂的環境來實作互動式
<br>的音效控制。有興趣的同學可以參考以下連結：
<br>
<br>https://pypi.python.org/pypi/PyAudio
<br>http://supercollider.github.io
<br>
<br>
<br>4. Teaching methods: 
<br>Video viewing at home. Exercise and discussion in class (2 hours/week).
<br>
<br>5. Syllabus [tentative]:
<br>Part I (5 weeks): Fourier Transform and applications, estimation problems and solutions
<br>Part II (7 weeks): Music and Speech/voice
<br>Part III (3 weeks): Physiology, psychology, and biomedical applications
<br>This year I plan to accelerate the lectures a little bit and allowing more time for labs and group discussions.
<br>
<br>
<br>(Detailed syllabus can be found on the NTHU LMS system)
<br>
<br>6. Evaluation (Tentative)
<br>-- Lab reports (50%): computer-ba<x>sed.
<br>-- Final Group Project (25%)
<br>-- 技術交流與互相指導 (25%)
<br>-- class participation (bonus, 5%)
<br>
<br>7. Webpage: 
<br>Course materials will be distributed through NTHU LMS system
<br>Videos can be found here -> https://tinyurl.com/liuaudio