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from gyraudio.audio_separation.data.remixed import RemixedAudioDataset | |
import torch | |
class RemixedFixedAudioDataset(RemixedAudioDataset): | |
def generate_snr_list(self) : | |
rnd_gen = torch.Generator() | |
rnd_gen.manual_seed(2147483647) | |
if self.snr_filter is None : | |
self.snr_list = self.min_snr + (self.max_snr - self.min_snr)*torch.rand(len(self.file_list), generator = rnd_gen) | |
else : | |
indices = torch.randint(0, len(self.snr_filter), (len(self.file_list),), generator=rnd_gen) | |
self.snr_list = [self.snr_filter[idx] for idx in indices] | |
def get_idx_noise(self, idx) : | |
return idx | |
def get_snr(self, idx) : | |
return self.snr_list[idx] |