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eess.AS2022
Factorized Blank Thresholding for Improved Runtime Efficiency of Neural Transducers
Duc Le, Frank Seide, Yuhao Wang +4
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…
eess.AS2022
An Investigation of Monotonic Transducers for Large-Scale Automatic Speech Recognition
Niko Moritz, Frank Seide, Duc Le +2
The two most popular loss functions for streaming end-to-end automatic speech recognition (ASR) are RNN-Transducer (RNN-T) and connectionist temporal classification (CTC). Between…