Description
Audio signal processing workflows can use PyTorch tensors and transforms on ROCm/HIP-capable systems. Researchers and audio developers can load datasets, transform waveforms, extract features, and build speech or sound models with AMD GPU support. It processes audio that may contain private speech or recordings.