| task | n_blocks | n_repeats | batch size | SI-SNRi(dB) | SDRi(dB) | |
|---|---|---|---|---|---|---|
| Paper | sep_clean | 8 | 3 | - | 15.3 | 15.6 |
| Here | sep_clean | 8 | 3 | 12 | 16.2 | 16.5 |
If you use this model, please cite the original work.
@article{Luo_2019,
title={Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation},
volume={27},
ISSN={2329-9304},
url={http://dx.doi.org/10.1109/TASLP.2019.2915167},
DOI={10.1109/taslp.2019.2915167},
journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
author={Luo, Yi and Mesgarani, Nima},
year={2019},
month={Aug},
pages={1256–1266}
}and if you like using asteroid you can give us a star! ⭐