Package: python3-torchaudio (2.6.0-1)

[ Source: pytorch-audio  ]

Data manipulation and transformation for audio signal processing

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

Other Packages Related to python3-torchaudio

• dep: libc6 (>= 2.32)

  GNU C 라이브러리: 공유 라이브러리
  also a virtual package provided by libc6-udeb

• dep: libgcc-s1 (>= 3.0) [not riscv64]

  GCC 기능 지원 라이브러리

  dep: libgcc-s1 (>= 3.4) [riscv64]

• dep: libgomp1 (>= 4.9)

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• dep: libsox3 (>= 14.4.2~)

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• dep: libstdc++6 (>= 14)

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• dep: libtorch2.6 (>= 2.6.0+dfsg)

  Tensors and Dynamic neural networks in Python (Shared Objects)

  or libtorch-cuda-2.6 (>= 2.6.0+dfsg)

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• dep: python3

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  dep: python3 (>= 3~)

• dep: python3-torch

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  or python3-torch-cuda

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Download python3-torchaudio

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Architecture	Package Size	Installed Size	Files
amd64	511.9 kB	2,605.0 kB	[list of files]
arm64	465.2 kB	2,594.0 kB	[list of files]
ppc64el	504.5 kB	2,850.0 kB	[list of files]
riscv64	505.6 kB	2,346.0 kB	[list of files]
s390x	503.7 kB	2,622.0 kB	[list of files]