End-to-end speech translation (ST) for conversation recordings involves
...
In real-world applications, users often require both translations and
tr...
Speech representation learning has improved both speech understanding an...
Self-supervised contrastive learning is a powerful tool to learn visual
...
PaddleSpeech is an open-source all-in-one speech toolkit. It aims at
fac...
In simultaneous translation (SimulMT), the most widely used strategy is ...
Recently, speech representation learning has improved many speech-relate...
Machine learning has huge potential to revolutionize the field of drug
d...
Simultaneous speech-to-text translation is widely useful in many scenari...
Recently text and speech representation learning has successfully improv...
End-to-end Speech-to-text Translation (E2E- ST), which directly translat...
Simultaneous translation is vastly different from full-sentence translat...
This paper studies learning logic rules for reasoning on knowledge graph...
Variants dropout methods have been designed for the fully-connected laye...
We present a new large-scale multilingual video description dataset, VAT...
Designing shared neural architecture plays an important role in multi-ta...
Distributed representation plays an important role in deep learning base...
Semantic composition functions have been playing a pivotal role in neura...