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......
| ♠ | 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. | |
| ♠ | 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. | |
| ♠ | Lectures (2 hours/week) and group discussion (1 hour/week). |
| 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 |
| |
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
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