Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Deng, Yaqiao"'
Autor:
Xu, Mingbin, Jin, Alex, Wang, Sicheng, Su, Mu, Ng, Tim, Mason, Henry, Han, Shiyi, Lei, Zhihong, Deng, Yaqiao, Huang, Zhen, Krishnamoorthy, Mahesh
With increasingly more powerful compute capabilities and resources in today's devices, traditionally compute-intensive automatic speech recognition (ASR) has been moving from the cloud to devices to better protect user privacy. However, it is still c
Externí odkaz:
http://arxiv.org/abs/2312.10359
Autor:
Lei, Zhihong, Xu, Mingbin, Han, Shiyi, Liu, Leo, Huang, Zhen, Ng, Tim, Zhang, Yuanyuan, Pusateri, Ernest, Hannemann, Mirko, Deng, Yaqiao, Siu, Man-Hung
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. The E2E systems implicitly model all conventional ASR components, such as the acoustic model
Externí odkaz:
http://arxiv.org/abs/2310.07062
Autor:
Xu, Mingbin, Song, Congzheng, Tian, Ye, Agrawal, Neha, Granqvist, Filip, van Dalen, Rogier, Zhang, Xiao, Argueta, Arturo, Han, Shiyi, Deng, Yaqiao, Liu, Leo, Walia, Anmol, Jin, Alex
Federated Learning (FL) is a technique to train models using data distributed across devices. Differential Privacy (DP) provides a formal privacy guarantee for sensitive data. Our goal is to train a large neural network language model (NNLM) on compu
Externí odkaz:
http://arxiv.org/abs/2207.08988