Find Papers Beat Tracking

[Kayisn]

REPET Paper mentioned by George ("Music/Voice Separation")

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269059

• model for transcribing speech: https://huggingface.co/docs/transformers/model_doc/whisper

[Kayisn]

Dynamic Programming method (2007)

https://www.music.mcgill.ca/~ich/classes/mumt621_09/presentations/wingate/27406228.pdf @article{ellis2007beat, title={Beat tracking by dynamic programming}, author={Ellis, Daniel PW}, journal={Journal of New Music Research}, volume={36}, number={1}, pages={51--60}, year={2007}, publisher={Taylor \& Francis} }

RNN method (2021)

https://ieeexplore.ieee.org/abstract/document/9413915 @inproceedings{heydari2021don, title={Don’t look back: An online beat tracking method using RNN and enhanced particle filtering}, author={Heydari, Mojtaba and Duan, Zhiyao}, booktitle={ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, pages={236--240}, year={2021}, organization={IEEE} }

CNN method (2017)

https://archives.ismir.net/ismir2017/paper/000135.pdf @inproceedings{gkiokas2017convolutional, title={Convolutional Neural Networks for Real-Time Beat Tracking: A Dancing Robot Application.}, author={Gkiokas, Aggelos and Katsouros, Vassilis}, booktitle={ISMIR}, pages={286--293}, year={2017} }

[Kayisn]

Resources linked by George for the DP2 group doing beat tracking:

Datasets: https://github.com/TempoBeatDownbeat/gtzan_tempo_beat (I can provide the GTZAN dataset) https://github.com/GiantSteps/giantsteps-tempo-dataset

Code: https://github.com/mjhydri/1D-StateSpace https://pypi.org/project/madmom/ https://github.com/marsyas/marsyas

Gouyon, Fabien, et al. "An experimental comparison of audio tempo induction algorithms." IEEE Transactions on Audio, Speech, and Language Processing 14.5 (2006): 1832-1844. Percival, Graham, and George Tzanetakis. "Streamlined tempo estimation based on autocorrelation and cross-correlation with pulses." IEEE/ACM Transactions on Audio, Speech, and Language Processing 22.12 (2014): 1765-1776. Böck, Sebastian, and Markus Schedl. "Enhanced beat tracking with context-aware neural networks." Proc. Int. Conf. Digital Audio Effects. 201

[marja-w]

• BeatNet: https://github.com/mjhydri/BeatNet
• All in one: https://github.com/mir-aidj/all-in-one?tab=readme-ov-file#available-models