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RuSSIR 2013 QBSH and AFP as Two Successful Paradigms of Music Information Retrieval

RuSSIR 2013 QBSH and AFP as Two Successful Paradigms of Music Information Retrieval. Jyh-Shing Roger Jang ( 張智星 ) http://mirlab.org/jang MIR Lab, CSIE Dept National Taiwan Univ., Taiwan. Course Outline. QBSH & AFP Query by singing/humming Audio Fingerprinting (aka query by exact example)

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RuSSIR 2013 QBSH and AFP as Two Successful Paradigms of Music Information Retrieval

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  1. RuSSIR 2013QBSH and AFP as Two Successful Paradigms of Music Information Retrieval Jyh-Shing Roger Jang (張智星) http://mirlab.org/jang MIR Lab, CSIE Dept National Taiwan Univ., Taiwan

  2. Course Outline • QBSH & AFP • Query by singing/humming • Audio Fingerprinting (aka query by exact example) • Comparison • Serve the same purpose • All the others differ a lot • Different features • Different retrieval methods • Different bottlenecks • Our foci • Feature extraction & Comparison methods • Optimization strategies • MATLAB prototypes & system demos • Course syllabus

  3. Course Schedule • QBSH • Sept 16, 2003 • Intro. to audio signals • Basic audio features • Sept 17, 2003 • Pitch tracking • Sept 18, 2003 • Comparison methods • QBSH demos • QBSH prototype in MATLAB • AFP • Sept 19, 2003 • AFP feature extraction and comparison • Sept 20, 2003 • AFP demos • AFP prototype in MATLAB

  4. Related Resources • Online tutorials • Audio signal processing and recognition: http://mirlab.org/jang/books/audioSignalProcessing • Data clustering and pattern recognition: http://mirlab.org/jang/books/dcpr • MATLAB toolboxes • Machine learning toolbox: http://mirlab.org/jang/matlab/toolbox/machineLearning • SAP (speech and audio processing) toolbox: http://mirlab.org/jang/matlab/toolbox/sap

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