6 citations · 19 across the 17 of their papers we have counts for
6 papers · 1 filter
Self-supervised learning with bi-label masked speech prediction for streaming multi-talker speech recognition
Zili Huang, Zhuo Chen, Naoyuki Kanda +6
Self-supervised learning (SSL), which utilizes the input data itself for representation learning, has achieved state-of-the-art results for various downstream speech tasks. However…
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…
A Conformer Based Acoustic Model for Robust Automatic Speech Recognition
Yufeng Yang, Peidong Wang, DeLiang Wang
This study addresses robust automatic speech recognition (ASR) by introducing a Conformer-based acoustic model. The proposed model builds on the wide residual bi-directional long s…