1. 課程說明(course description)：
<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。學生修完本課程,應能對這個領域的核心技術與背景觀念有充分理解，並激發創造力，針對有興趣的課題作更深入的實作研究。課程作業將採理論與實作兩部分。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)
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<br>** 本學期將採英語授課 **
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<br>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.  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.
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<br>** THIS COURSE WILL BE OFFERED IN ENGLISH **
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<br>2.  Textbook: None.
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<br>3. References:
<br>Quatieri, T.F. (2001) "Discrete-Time Speech Signal Processing: Principles and Practice," Prentice-Hall.  
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<br>Smith, J.O. (2010). "Spectral Audio Signal Processing" (in press).
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<br>4. Teaching methods: 
<br>  Lectures (2 hours/week) and Labs (1 hour/week).
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<br>5. Syllabus:
<br>Human auditory system: overview.
<br>Introduction to biophysics of hearing
<br>Introduction to psychoacoustics: pitch, masking, speech perception.
<br>Short-time Fourier transform
<br>Windowing methods and FIR design
<br>Criteria for perfect reconstruction filter-bank design
<br>Linear prediction/adaptive filtering/spectral estimation
<br>Parametric modeling and information theoretic bounds
<br>Parametric synthesis of audio signals
<br>Principles of audio and speech data compression
<br>Applications and emerging topics
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<br>6. Evaluation:
<br>Homework (50%), Final Project (40%), in-class participation (10%).
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<br>7. Webpage: 
<br>http://www.ee.nthu.edu.tw/ywliu/ee6541/index.html