In simultaneous translation (SimulMT), the most widely used strategy is ...
This paper proposes an efficient approach to learning disentangled
repre...
There are so many models in the literature that it is difficult for
prac...
We propose a method for emotion recognition through emotiondependent spe...
Much of the recent literature on automatic speech recognition (ASR) is t...
This study reports our efforts to improve automatic recognition of
supra...
This paper compares BERT-SQuAD and Ab3P on the Abbreviation Definition
I...
This paper introduces the third DIHARD challenge, the third in a series ...
Simultaneous speech-to-speech translation is widely useful but extremely...
This paper introduces the third DIHARD challenge, the third in a series ...
Scaling up the vocabulary and complexity of current visual understanding...
Text-to-speech synthesis (TTS) has witnessed rapid progress in recent ye...
This paper introduces the second DIHARD challenge, the second in a serie...
We show how Zipf's Law can be used to scale up language modeling (LM) to...