if np.abs(source).mean() >= self.min_mean_abs: # remove quiet chunks
break
But this code isn't in the mdx_C branch, please can you tell me if you found that this made the mdx_C training performance worse or if there was a reason why you didn't use it for mdx_C?
For mdx_AB and cdx_A you used
if np.abs(source).mean() >= self.min_mean_abs: # remove quiet chunks break
But this code isn't in the mdx_C branch, please can you tell me if you found that this made the mdx_C training performance worse or if there was a reason why you didn't use it for mdx_C?
Thank you :relaxed: