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Fluxion: A Differentiable DSP Runtime from Training GPU to Real-Time Edge
Native real-time audio engines meet audio deadlines but are hard to connect to machine-learning workflows, while tensor frameworks integrate with machine learning but process audio as offline batches without timing guarantees; runtime layers built on them inherit the host's scheduling and deployment
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