1. 課程說明(course desc<x>ription)：
<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>
<br>2.  Textbook: None.
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<br>3. References:
<br>[NEW] This year, I plan to focus on speech and human voice. Below is a good reference 
<br>I've found,
<br>
<br>L. R. Rabiner and R. W. Schafer, "Introduction to digital speech processing,"
<br>Foundations and Trends in Signal Processing, Vol. 1, Nos. 1–2 (2007) 1–194. 
<br>
<br>You may find its PDF online.
<br>https://www.nowpublishers.com/article/Details/SIG-001
<br>
<br>Otherwise, lecture notes and papers for group discussion will be handed out 
<br>throughout the semester. 
<br>
<br>4. Teaching methods: a mixture of lectures and student-reporting.
<br>
<br>5. Syllabus:
<br>Part I (5 weeks): Basic Fourier Transform, speech perception and production
<br>Part II (5 weeks): Speech synthesis related topics
<br>Part III (5 weeks): Speech recognition related topics
<br>
<br>6. Evaluation (Tentative)
<br>-- Weekly assignments (50%): computer-ba<x>sed.
<br>-- Final Group Project (30%)
<br>-- Class participation (20%)
<br>
<br>
<br>7. Webpage: 
<br>Course materials will be distributed through NTHU e-learn system.
<br>
<br>Please activate your account at
<br>https://elearn.nthu.edu.tw/
<br>if you have not done so. I plan to switch from the LMS system to elearn this year.
<br>
<br>