2023
Factorized Blank Thresholding for Improved Runtime Efficiency of Neural Transducers
ICASSP 2023accepted
We show how factoring the RNN-T’s output distribution can significantly reduce the computation cost and power consumption for on-device ASR inference with no loss in accuracy. With the rise in popularity of neural-transducer type models like the RNN-T for on-device ASR, optimizing RNN-T’s runtime ef…