Zhong Meng

On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer

2021

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 …

Factorized Neural Transducer for Efficient Language Model Adaptation

2021 · arXiv (Cornell University)

In recent years, end-to-end (E2E) based automatic speech recognition (ASR) systems have achieved great success due to their simplicity and promising performance. Neural Transducer based models are increasingly popular in streaming E2E based ASR systems …