Anira, a new library for real-time audio neural network inference, is benchmarked across three engines, finding ONNX Runtime fastest for stateless models and LibTorch fastest for stateful models.
Wave-u-net: A multi-scale neural network for end-to-end audio source separation,
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ANIRA: An Architecture for Neural Network Inference in Real-Time Audio Applications
Anira, a new library for real-time audio neural network inference, is benchmarked across three engines, finding ONNX Runtime fastest for stateless models and LibTorch fastest for stateful models.