A Robust Partial Tracker for Analysis of Music Signals

Satar-Boroujeni H, Shafai B. A Robust Partial Tracker for Analysis of Music Signals. In: AES Convention 119. Audio Engineering Society; 2005. Paper 6566. Available from: https://aes.org/publications/elibrary-page/?id=13359

@inproceedings{SatarBoroujeni2005_13359,
  author = {Satar-Boroujeni, Hamid and Shafai, Bahram},
  title = {{A Robust Partial Tracker for Analysis of Music Signals}},
  booktitle = {AES Convention 119},
  note = {Paper 6566},
  year = {2005},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13359}
}

TY  - CPAPER
TI  - A Robust Partial Tracker for Analysis of Music Signals
AU  - Satar-Boroujeni, Hamid
AU  - Shafai, Bahram
T2  - AES Convention 119
M1  - Paper 6566
PY  - 2005
DA  - 2005/10/06
UR  - https://aes.org/publications/elibrary-page/?id=13359
PB  - Audio Engineering Society
LA  - en
AB  - We propose a novel approach for tracking of partials in music signals based on a robust Kalman filter. The tracker is based on a regularized least-squares approach that is designed to minimize the worst-possible regularized residual norm over the class of admissible uncertainties at each iteration. We introduce a set of state-space models for our signals based on the evolution of frequency and amplitude in different classes of musical instruments. These prior models are used to estimate future values of partial tracks in successive time frames of our spectral data. Here, the parameters of evolution models are treated as bounded uncertainties and our tracker can robustly track both frequency and power partials in all frequency regions.
ER  -