Customizing machine translation models to comply with fine-grained attri...
The challenge of low-latency speech translation has recently draw signif...
Many existing speech translation benchmarks focus on native-English spee...
The cornerstone of multilingual neural translation is shared representat...
In this paper, we describe our submission to the Simultaneous Speech
Tra...
Recently, end-to-end speech translation (ST) has gained significant atte...
While Active Learning (AL) techniques are explored in Neural Machine
Tra...
We present the first direct simultaneous speech-to-speech translation
(S...
In a speech-to-speech translation (S2ST) pipeline, the text-to-speech (T...
Unsupervised neural machine translation (UNMT) is beneficial especially ...
Multilingual neural machine translation has shown the capability of dire...
Automatic speech recognition (ASR) systems are primarily evaluated on
tr...
Encoder-decoder models provide a generic architecture for
sequence-to-se...