no code implementations • 5 Aug 2023 • Fangyuan Wang, Ming Hao, Yuhai Shi, Bo Xu
The conventional recipe for Automatic Speech Recognition (ASR) models is to 1) train multiple checkpoints on a training set while relying on a validation set to prevent overfitting using early stopping and 2) average several last checkpoints or that of the lowest validation losses to obtain the final model.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 24 May 2023 • Xiyuan Wang, Fangyuan Wang, Bo Xu, Liang Xu, Jing Xiao
Typically, the Time-Delay Neural Network (TDNN) and Transformer can serve as a backbone for Speaker Verification (SV).
no code implementations • 21 Nov 2022 • Fangyuan Wang, Bo Xu
Currently, the chunk-wise schemes are often used to make Automatic Speech Recognition (ASR) models to support streaming deployment.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • 19 Jun 2022 • Jiawen Wei, Fangyuan Wang, Wanxin Zeng, Wenwei Lin, Ning Gui
Reducing sensor requirements while keeping optimal control performance is crucial to many industrial control applications to achieve robust, low-cost, and computation-efficient controllers.
1 code implementation • 29 Mar 2022 • Fangyuan Wang, Bo Xu
We integrate this scheme with the chunk-wise Transformer and Conformer, and identify them as SChunk-Transformer and SChunk-Conformer, respectively.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 7 Jul 2021 • Fangyuan Wang, Zhigang Song, Hongchen Jiang, Bo Xu
Most of the recent state-of-the-art results for speaker verification are achieved by X-vector and its subsequent variants.
no code implementations • IJCAI 2015 • Jiaming Xu, PengWang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, HongWei Hao
Meanwhile word features and position features are together fed into a convolutional network to learn the implicit features which are further incorporated with the explicit features to fit the pretrained binary code.
1 code implementation • 10 Mar 2015 • Jiaming Xu, Bo Xu, Guanhua Tian, Jun Zhao, Fangyuan Wang, Hong-Wei Hao
However, topics of certain granularity are not adequate to represent the intrinsic semantic information.