For QBSH, we will cover the following topics:
For AFP, we are going to cover the following topics:
In addition to the theoretical aspects, the course will be interleaved with MATLAB code for plotting, sound playback, and animation, to demonstrate the underlying fundamental steps of QBSH and AFP. (An example page of course material and code snippets can be found at http://mirlab.org/jang/books/audioSignalProcessing/ptTimeDomainAcf.asp?title=7-2%20ACF.)
After the course, the audience should have a comprehensive notation of how to create QBSH and AFP prototypes for their own applications. If time and space permit, we will also organize lab sessions (using MATLAB primarily) to let the audience have hands-on experiences of building working QBSH and AFP prototypes for their own applications.
We have been maintaining two online courses on the web, with open course material and code snippets:
We have been maintaining several MATLAB toolboxes that are used in the previous two online courses. These toolboxes are also used for our MIREX submissions. If we have lab sessions in the Summer School, these toolboxes will be used to create working prototypes of QBSH and AFP systems.
Prof. Jang¡¦s research interests include machine learning and pattern recognition, with applications to music analysis/retrieval, speech recognition/assessment/synthesis, and image identification/retrieval. He is an active participant of ISMIR (International Society of Music Information Retrieval) and has achieved excellent rankings in several tasks of MIREX (Music Information Retrieval Evaluation eXchange) for years, including query by singing/humming, audio melody extraction, beat tracking, tempo estimation, audio classification, and score following. For speech part, most of his research is focused on the use of innovative machine learning techniques for computed aided pronunciation training of Mandarin, English, Japanese, and Taiwanese.
Prof. Jyh-Shing Roger Jang
Department of Computer Science and Information Engineering
National Taiwan University
No. 1, Sec. 4, Roosevelt Road, Taipei, 10617 Taiwan