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Aggressive KV cache compression can be achieved with near-zero accuracy loss by treating the cache as a trainable neural network optimized at test-time.
Achieving robust ASR with a front-end that reduces word error rates while using fewer than 1 million parameters and minimal computational overhead is a game changer for speech processing efficiency.