torchaudio is the official PyTorch audio library, designed to process audio data for machine learning workflows. It offers GPU-accelerated operations, audio I/O with popular formats, and preprocessing transforms like spectrograms and MFCCs. The library includes built-in dataloaders for speech and audio datasets, plus speech-specific utilities like forced alignment for ASR training. Unlike general signal processing tools, it tightly integrates with PyTorch’s autograd system for end-to-end differentiable audio pipelines.