WIND runs RNN-T decoding faster by evaluating windows of frames in parallel to find the first non-blank prediction, exactly matching greedy accuracy while running up to 2.4X faster.
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WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection
WIND runs RNN-T decoding faster by evaluating windows of frames in parallel to find the first non-blank prediction, exactly matching greedy accuracy while running up to 2.4X faster.