Linux workstation

Upstream software project

pytorch-audio

Audio signal processing for PyTorch

About pytorch-audio

Audio signal processing for PyTorch

This project links 6 native package records across 5 recorded operating-system releases. Compare the retained versions and architectures below, then open the package for your own release.

These are catalog observations, not a guarantee of installation, compatibility, or upstream support.

Visit project website

Project pictures and package coverage

pytorch-audio repository preview from GitHub
Project repository preview, supplied by GitHub. Open source repository
Debian 12 (Bookworm): 1 package records; Debian 13 (Trixie): 1 package records; Fedora 43: 1 package records; Fedora 44: 1 package records; openSUSE Tumbleweed: 2 package records. Catalog coverage diagram, not an application screenshot.pytorch-audio: recorded package coverageDebian 12 (Bookworm)1 recordsDebian 13 (Trixie)1 recordsFedora 431 recordsFedora 441 recordsopenSUSE Tumbleweed2 records
OpenFactory diagram of linked package records. It is not an application screenshot.

Project identity

Project
pytorch-audio
Publisher
Not authoritatively mapped
Native package records
6
Operating systems
debian-12, debian-13, fedora-43, fedora-44, opensuse-tumbleweed
License expression
BSD-2-Clause
Metadata completeness
100/100 (not a software quality rating)
Homepage
Visit upstream site
Source repository
Open source repository

Source-reported description

The fullest retained description is shown with its source. Distribution packaging descriptions may include downstream details.

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 can 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.

Description source

Packages by operating system

Compare recorded versions, then open a package for dependency, file, checksum, and repository evidence. Version strings are distribution-specific, not a ranking of newer software.

Debian 12 (Bookworm)

  1. python3-torchaudio

    Debian 12 (Bookworm) / science / source pytorch-audio

    0.13.1-1

    Data manipulation and transformation for audio signal processing

    amd64arm64bookworm

Debian 13 (Trixie)

  1. python3-torchaudio

    Debian 13 (Trixie) / science / source pytorch-audio

    2.6.0-1

    Data manipulation and transformation for audio signal processing

    amd64arm64trixie

Fedora 43

  1. python3-torchaudio

    Fedora 43 / Unspecified / source python-torchaudio

    2.7.1-4.fc43

    Audio signal processing, powered by PyTorch

    aarch64x86_6443

Fedora 44

  1. python3-torchaudio

    Fedora 44 / Unspecified / source python-torchaudio

    2.9.0-4.fc44

    Audio signal processing, powered by PyTorch

    x86_6444

openSUSE Tumbleweed

  1. python313-torchaudio

    openSUSE Tumbleweed / Unspecified / source python-torchaudio

    2.11.0-1.1

    Audio signal processing for PyTorch

    x86_64tumbleweed
  2. python314-torchaudio

    openSUSE Tumbleweed / Unspecified / source python-torchaudio

    2.11.0-1.1

    Audio signal processing for PyTorch

    x86_64tumbleweed

Project resources and further reading

Mapping provenance

Only source-backed identity signals create public cross-OS links. A reviewer can later approve or dispute an inferred relationship without rewriting native package history.

No field-level source record is published yet.