A simple version of SEGAN implemented in pytorch.
Reach 10.89 SNR on one-speaker-noisy dataset generated by THM.
ref:
[1] Pascual, S., Bonafonte, A. and Serrà, J., 2017. SEGAN: Speech Enhancement Generative Adversarial Network. Proc. Interspeech 2017, pp.3642-3646.