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Results

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

References

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 ! ⭐