Pitch Estimation for the Separation of Musical Sounds

Rosier J, Grenier Y. Pitch Estimation for the Separation of Musical Sounds. In: AES Convention 112. Audio Engineering Society; 2002. Paper 5528. Available from: https://aes.org/publications/elibrary-page/?id=11334

@inproceedings{Rosier2002_11334,
  author = {Rosier, Julie and Grenier, Yves},
  title = {{Pitch Estimation for the Separation of Musical Sounds}},
  booktitle = {AES Convention 112},
  note = {Paper 5528},
  year = {2002},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=11334}
}

TY  - CPAPER
TI  - Pitch Estimation for the Separation of Musical Sounds
AU  - Rosier, Julie
AU  - Grenier, Yves
T2  - AES Convention 112
M1  - Paper 5528
PY  - 2002
DA  - 2002/04/06
UR  - https://aes.org/publications/elibrary-page/?id=11334
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -