pytorch/audio

Health v2 · maintenance only

Adoption not part of the score

2927 stars · 793 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TorchAudio is PyTorch's audio library providing data manipulation, transforms, and dataset loaders for audio and speech machine learning. It is now in maintenance mode, tightly scoped to GPU-accelerated audio processing for ML pipelines.

Use cases

• compute mel spectrograms and MFCCs for audio models
• load and preprocess speech datasets for training
• resample and encode audio as tensors in PyTorch
• run forced alignment for speech recognition
• match Kaldi fbank features in PyTorch

When to choose

• you train audio or speech models with PyTorch and need GPU-accelerated audio transforms
• you want dataset loaders and feature extraction consistent with torch tensors and autograd

When to avoid

• you need a general-purpose signal processing library outside machine learning
• you rely on features deprecated in 2.8 and removed in 2.9, such as I/O and decoding utilities

Facets

library · maturity maintenance

audio-processing machine-learning speech-recognition machine-learning speech-processing deep-learning python cross-platform pytorch torchaudio audio-transforms spectrogram dataloaders signal-processing audio gpu

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For agents

markdown · JSON · MCP: product_card(name="pytorch/audio")