Articles:
Improving MIDI-audio alignment with acoustic features
Johanna Devaney; Michael I. Mandel; Daniel P. W. Ellis
Downloads:
- Title:
- Improving MIDI-audio alignment with acoustic features
- Author(s):
-
Devaney, Johanna
Mandel, Michael I.
Ellis, Daniel P. W. - Date:
- 2009
- Type:
- Articles
- Department:
- Electrical Engineering
- Permanent URL:
- http://hdl.handle.net/10022/AC:P:13655
- 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:
- IEEE
- Publisher Location:
- Piscataway, N.J.
- Abstract:
- 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.
- Subject(s):
-
Electrical engineering
Applied mathematics - DOI:
- http://dx.doi.org/10.1109/ASPAA.2009.5346500
- Item views:
- 22