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
<br>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
<br>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
<br>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
<br>歡迎有興趣之大學部高年級同學選修)
<br>**本年度將嘗試進行局部的翻轉教學。**
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<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 **
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<br>2.  Textbook: None.
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<br>3. References:
<br>講義與討論文獻將隨課程之進行而發出。
<br>Lecture notes and papers for group discussion will be handed out throughout the 
<br>semester.
<br>
<br>4. Teaching methods: 
<br>Video viewing + exercise and discussion (2 hours/week); journal reading and seminar (1 
<br>hour/week).
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<br>5. Syllabus:
<br>Part I (6 weeks): Fourier Transform and applications, estimation problems and solutions
<br>Part II (6 weeks): Music and Speech
<br>Part III (3 weeks): Physiology, psychology, and biomedical applications
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<br>(Detailed syllabus can be found on the NTHU LMS system)
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<br>6. Evaluation (Tentative)
<br>-- Weekly assignments (50%): computer-ba<x>sed.
<br>-- Final Group Project (30%)
<br>-- Journal discussion leading (10%)
<br>-- Class participation (10%)
<br>
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<br>7. Webpage: 
<br>Course materials will be distributed through NTHU LMS system
<br>