Add wsj0mix dataset #895
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Add wsj0mix dataset #895
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mthrok
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vincentqb
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as mentioned here, training on an open dataset like LibriMix would allow for more users to experiment with the dataset |
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vincentqb
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| def _load_audio(self, path) -> torch.Tensor: | ||
| waveform, sample_rate = torchaudio.load(path) | ||
| if sample_rate != self.sample_rate: | ||
| raise ValueError( | ||
| f"The dataset contains audio file of sample rate {sample_rate}. " | ||
| "Where the requested sample rate is {self.sample_rate}." | ||
| ) | ||
| return waveform |
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What does this function serve beyond wrapping load? Ensures sample rate is the same?
cpuhrsch
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Oct 12, 2020
vincentqb
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Oct 12, 2020
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| from . import wsj0mix | ||
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| Batch = namedtuple("Batch", ["mix", "src", "mask"]) |
vincentqb
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Oct 12, 2020
cpuhrsch
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Oct 12, 2020
| self.root = Path(root) | ||
| self.sample_rate = sample_rate | ||
| self.mix_dir = (self.root / "mix").resolve() | ||
| self.src_dirs = [(self.root / f"s{i+1}").resolve() for i in range(num_speakers)] |
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nit: could use os path join
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thanks! |
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#897
test/torchaudio_unittest