RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions

SLT, pp. 873-880, 2021.

Cited by: 7|Views138
EI

Abstract:

In recent years, all-neural end-to-end approaches have obtained state-of-the-art results on several challenging automatic speech recognition (ASR) tasks. However, most existing works focus on building ASR models where train and test data are drawn from the same domain. This results in poor generalization characteristics on mismatched-do...More

Code:

Data:

Full Text
Bibtex
Your rating :
0

 

Tags
Comments