On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer
On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer
Hybrid Autoregressive Transducer (HAT) is a recently proposed end-to-end acoustic model that extends the standard Recurrent Neural Network Transducer (RNN-T) for the purpose of the external language model (LM) fusion.In HAT, the blank probability and the label probability are estimated using two separate probability distributions, which provides a more accurate …