Hybrid automatic speech recognition (ASR) models are typically sequentia...
How to leverage dynamic contextual information in end-to-end speech
reco...
We propose a dynamic encoder transducer (DET) for on-device speech
recog...
End-to-end models in general, and Recurrent Neural Network Transducer (R...
In this work, to measure the accuracy and efficiency for a latency-contr...
Attention-based models have been gaining popularity recently for their s...
In this paper, we summarize the application of transformer and its strea...
This paper proposes an efficient memory transformer Emformer for low lat...
This paper presents the design of the machine learning architecture that...