What does it take to create the Babel Fish, a tool that can help individ...
Transducer and Attention based Encoder-Decoder (AED) are two widely used...
We present the first direct simultaneous speech-to-speech translation
(S...
In a speech-to-speech translation (S2ST) pipeline, the text-to-speech (T...
We present a direct speech-to-speech translation (S2ST) model that trans...
Simultaneous text translation and end-to-end speech translation have rec...
Transformer-based models have achieved state-of-the-art performance on s...
Attention-based sequence-to-sequence modeling provides a powerful and el...
We introduce fairseq S2T, a fairseq extension for speech-to-text (S2T)
m...
Simultaneous translation on both text and speech focuses on a real-time ...
One of the main challenges for end-to-end speech translation is data
sca...
Simultaneous machine translation models start generating a target sequen...
For automatic speech translation (AST), end-to-end approaches are
outper...
For automatic speech translation (AST), end-to-end approaches are
outper...
We unify different broad-coverage semantic parsing tasks under a transdu...
We propose an attention-based model that treats AMR parsing as
sequence-...