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We present a pitch estimation method for the separation of musical sounds. From a sinusoid plus autoregressive noise model of the composite signal, we successively estimate the fundamental frequencies using the Minimum Description Length principle or Rissanen Criterion. Equivalent to a penalized log-likelihood, this criterion also allows to detect the onset and offset of each sound. The detection is based upon the likelihood gap between the estimate model and a simple autoregressive model. Several simulations for single or multiple musical sounds are performed to illustrate the effectiveness of the method.
Author (s): Rosier, Julie;
Grenier, Yves;
Affiliation:
ENST, Dept TSI, Paris, France
(See document for exact affiliation information.)
AES Convention: 112
Paper Number:5528
Publication Date:
2002-04-06
Session subject:
Musical Acoustics
DOI:
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Rosier, Julie; Grenier, Yves; 2002; Pitch Estimation for the Separation of Musical Sounds [PDF]; ENST, Dept TSI, Paris, France; Paper 5528; Available from: https://aes.org/publications/elibrary-page/?id=11334
Rosier, Julie; Grenier, Yves; Pitch Estimation for the Separation of Musical Sounds [PDF]; ENST, Dept TSI, Paris, France; Paper 5528; 2002 Available: https://aes.org/publications/elibrary-page/?id=11334
@inproceedings{Rosier2002pitch,
title={{Pitch Estimation for the Separation of Musical Sounds}},
author={Rosier, Julie and Grenier, Yves},
year={2002},
month={apr},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 5528; AES Convention 112; April 2002},
number={5528},
organization={AES},
}
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