Improving MIDI-audio alignment with acoustic features
Johanna Devaney; Michael I. Mandel; Daniel P. W. Ellis
- Improving MIDI-audio alignment with acoustic features
Mandel, Michael I.
Ellis, Daniel P. W.
- Electrical Engineering
- Permanent URL:
- Book/Journal Title:
- 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, October 18-21, 2009, Mohonk Mountain House, New Paltz, NY, USA
- Publisher Location:
- Piscataway, N.J.
- This paper describes a technique to improve the accuracy of dynamic time warping-based MIDI-audio alignment. The technique implements a hidden Markov model that uses aperiodicity and power estimates from the signal as observations and the results of a dynamic time warping alignment as a prior. In addition to improving the overall alignment, this technique also identifies the transient and steady state sections of the note. This information is important for describing various aspects of a musical performance, including both pitch and rhythm.
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