activity
20182023
most citedEspresso: A Fast End-to-end Neural Speech Recognition Toolkit

14 citations · 30 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2023★ 1 cited

AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild

Hongjie Fang, Hao-Shu Fang, Yiming Wang +5

While humans can use parts of their arms other than the hands for manipulations like gathering and supporting, whether robots can effectively learn and perform the same type of ope…

eess.AS2022

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…

cs.CL2022

Supervision-Guided Codebooks for Masked Prediction in Speech Pre-training

Chengyi Wang, Yiming Wang, Yu Wu +4

Recently, masked prediction pre-training has seen remarkable progress in self-supervised learning (SSL) for speech recognition. It usually requires a codebook obtained in an unsupe…

cs.CL2021★ 3 cited

Wake Word Detection with Streaming Transformers

Yiming Wang, Hang Lv, Daniel Povey +2

Modern wake word detection systems usually rely on neural networks for acoustic modeling. Transformers has recently shown superior performance over LSTM and convolutional networks…

eess.AS2020★ 1 cited

PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR

Yiwen Shao, Yiming Wang, Daniel Povey +1

We present PyChain, a fully parallelized PyTorch implementation of end-to-end lattice-free maximum mutual information (LF-MMI) training for the so-called \emph{chain models} in the…

eess.AS2020★ 5 cited

Wake Word Detection with Alignment-Free Lattice-Free MMI

Yiming Wang, Hang Lv, Daniel Povey +2

Always-on spoken language interfaces, e.g. personal digital assistants, rely on a wake word to start processing spoken input. We present novel methods to train a hybrid DNN/HMM wak…