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A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

Results 2 SEGAN issues
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- fixing for Pytorch 1.3.0 >=

Currently, the `ref_batch` is sampled only once before the training loop starts [as here in line 32](https://github.com/leftthomas/SEGAN/blob/master/main.py#L32). Shouldn't it be randomly sampled for each batch? I am guessing it based...