End-to-end speech translation (ST) for conversation recordings involves
...
We propose gated language experts to improve multilingual transformer
tr...
End-to-end formulation of automatic speech recognition (ASR) and speech
...
In this paper, we introduce our work of building a Streaming Multilingua...
Recently, self-supervised learning (SSL) has demonstrated strong perform...
Neural transducers have been widely used in automatic speech recognition...
This study addresses robust automatic speech recognition (ASR) by introd...
Atlantic Multidecadal Variability (AMV) describes variations of North
At...
While permutation invariant training (PIT) based continuous speech separ...
On-device end-to-end speech recognition poses a high requirement on mode...
We propose a multitask training method for attention-based end-to-end sp...
We propose speaker separation using speaker inventories and estimated sp...
We propose multi-microphone complex spectral mapping, a simple way of
ap...
Monaural speech enhancement has made dramatic advances since the introdu...
This paper proposed a class of novel Deep Recurrent Neural Networks whic...
This paper presented our work on applying Recurrent Deep Stacking Networ...