Polyphonic Note and Instrument Tracking Using Linear Dynamical Systems

Benetos E. Polyphonic Note and Instrument Tracking Using Linear Dynamical Systems. In: AES Conference: 2017 AES International Conference on Semantic Audio. Audio Engineering Society; 2017. Paper 4-2. Available from: https://aes.org/publications/elibrary-page/?id=18760

@inproceedings{Benetos2017_18760,
  author = {Benetos, Emmanouil},
  title = {{Polyphonic Note and Instrument Tracking Using Linear Dynamical Systems}},
  booktitle = {AES Conference: 2017 AES International Conference on Semantic Audio},
  note = {Paper 4-2},
  year = {2017},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18760}
}

TY  - CPAPER
TI  - Polyphonic Note and Instrument Tracking Using Linear Dynamical Systems
AU  - Benetos, Emmanouil
T2  - AES Conference: 2017 AES International Conference on Semantic Audio
M1  - Paper 4-2
PY  - 2017
DA  - 2017/06/06
UR  - https://aes.org/publications/elibrary-page/?id=18760
PB  - Audio Engineering Society
LA  - en
AB  - In this paper, a system for automatic transcription of multiple-instrument polyphonic music is proposed, which supports tracking multiple concurrent notes using linear dynamical systems (LDS). The system is based on a spectrogram factorisation model and supports the detection of multiple pitches and instrument contributions. In order to track multiple concurrent pitches, the use of LDS as prior to the multi-pitch model is proposed. LDS parameters are learned using score-informed transcriptions; for inference, online and offline LDS variants are evaluated. The MAPS and Bach10 datasets are used for experiments. Results show that the proposed LDS-based method can successfully track multiple concurrent notes, leading to an improvement of over 3% in terms of F-measure for both datasets over benchmark note tracking approaches.
ER  -