About
TorchAudio is a PyTorch library for GPU-accelerated audio processing, enabling feature extraction like spectrograms and data augmentation directly within the neural network graph. Use it to efficiently transform raw waveforms into features for models such as ASR or to apply on-GPU augmentations like SpecAugment. It integrates seamlessly with PyTorch pipelines via `nn.Sequential`.
Quick Install
Claude Code
Recommendednpx skills add cuba6112/skillfactory -a claude-code/plugin add https://github.com/cuba6112/skillfactorygit clone https://github.com/cuba6112/skillfactory.git ~/.claude/skills/torchaudioCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the torchaudio skill?
torchaudio is a Claude Skill by cuba6112. Skills package instructions and resources that Claude loads on demand, so Claude can perform torchaudio-related tasks without extra prompting.
How do I install torchaudio?
Use the install commands on this page: add torchaudio to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does torchaudio belong to?
torchaudio is in the Other category, tagged data.
Is torchaudio free to use?
Yes. torchaudio is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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