no code implementations • 16 Oct 2023 • Zhihong Lei, Ernest Pusateri, Shiyi Han, Leo Liu, MingBin Xu, Tim Ng, Ruchir Travadi, Youyuan Zhang, Mirko Hannemann, Man-Hung Siu, Zhen Huang
Recent advances in deep learning and automatic speech recognition have improved the accuracy of end-to-end speech recognition systems, but recognition of personal content such as contact names remains a challenge.
no code implementations • 10 Oct 2023 • Zhihong Lei, MingBin Xu, Shiyi Han, Leo Liu, Zhen Huang, Tim Ng, Yuanyuan Zhang, Ernest Pusateri, Mirko Hannemann, Yaqiao Deng, Man-Hung Siu
Recent advances in deep learning and automatic speech recognition (ASR) have enabled the end-to-end (E2E) ASR system and boosted the accuracy to a new level.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
1 code implementation • 3 Jun 2023 • Zhentao Xu, Ruoying Wang, Girish Balaji, Manas Bundele, Xiaofei Liu, Leo Liu, Tie Wang
Data-driven companies use AI models extensively to develop products and intelligent business solutions, making the health of these models crucial for business success.
no code implementations • 18 Jul 2022 • MingBin Xu, Congzheng Song, Ye Tian, Neha Agrawal, Filip Granqvist, Rogier Van Dalen, Xiao Zhang, Arturo Argueta, Shiyi Han, Yaqiao Deng, Leo Liu, Anmol Walia, Alex Jin
Our goal is to train a large neural network language model (NNLM) on compute-constrained devices while preserving privacy using FL and DP.
no code implementations • 29 Feb 2020 • Woojay Jeon, Leo Liu, Henry Mason
We propose a method to reduce false voice triggers of a speech-enabled personal assistant by post-processing the hypothesis lattice of a server-side large-vocabulary continuous speech recognizer (LVCSR) via a neural network.
no code implementations • 4 Oct 2019 • Zhen Huang, Tim Ng, Leo Liu, Henry Mason, Xiaodan Zhuang, Daben Liu
The most popular way to train very deep CNNs is to use shortcut connections (SC) together with batch normalization (BN).