6 citations · 15 across the 12 of their papers we have counts for
4 papers · 2 filters
LAMASSU: Streaming Language-Agnostic Multilingual Speech Recognition and Translation Using Neural Transducers
Peidong Wang, Eric Sun, Jian Xue +5
Automatic speech recognition (ASR) and speech translation (ST) can both use neural transducers as the model structure. It is thus possible to use a single transducer model to perfo…
A Weakly-Supervised Streaming Multilingual Speech Model with Truly Zero-Shot Capability
Jian Xue, Peidong Wang, Jinyu Li +1
In this paper, we introduce our work of building a Streaming Multilingual Speech Model (SM2), which can transcribe or translate multiple spoken languages into texts of the target l…
Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?
Sanyuan Chen, Yu Wu, Chengyi Wang +8
Recently, self-supervised learning (SSL) has demonstrated strong performance in speaker recognition, even if the pre-training objective is designed for speech recognition. In this…
Large-Scale Streaming End-to-End Speech Translation with Neural Transducers
Jian Xue, Peidong Wang, Jinyu Li +2
Neural transducers have been widely used in automatic speech recognition (ASR). In this paper, we introduce it to streaming end-to-end speech translation (ST), which aims to conver…