dataset
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from genericpath import isdir
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import librosa
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import os
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from torch.utils.data import IterableDataset
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import torch
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class Vctk(IterableDataset):
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"""Dataset object for Voice Bank Corpus (VCTK) Dataset"""
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def __init__(self,clean_path,noisy_path,sample_length=1,num_samples=None):
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if not os.path.isdir(clean_path):
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raise ValueError(f"{clean_path} is not a valid directory")
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if not os.path.isdir(noisy_path):
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raise ValueError(f"{clean_path} is not a valid directory")
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self.clean_path = clean_path
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self.noisy_path = noisy_path
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if num_samples is None:
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self.num_samples = len([file for file in os.listdir(clean_path) if file.endswith(".wav")])
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else:
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self.num_samples = num_samples
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self.sample_length = max(0.1,sample_length)
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def __iter__(self):
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pass
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def __len__(self):
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pass
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