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8 lines
570 B
Text
8 lines
570 B
Text
The aim of torchaudio is to apply PyTorch to the audio domain. By supporting
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PyTorch, torchaudio follows the same philosophy of providing strong GPU
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acceleration, having a focus on trainable features through the autograd system,
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and having consistent style (tensor names and dimension names). Therefore, it is
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primarily a machine learning library and not a general signal processing
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library. The benefits of PyTorch can be seen in torchaudio through having all
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the computations be through PyTorch operations which makes it easy to use and
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feel like a natural extension.
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