Conformer-Based Speech Recognition On Extreme Edge-Computing Devices

no code implementations • 16 Dec 2023 • MingBin Xu, Alex Jin, Sicheng Wang, Mu Su, Tim Ng, Henry Mason, Shiyi Han, Zhihong Lei, Yaqiao Deng, Zhen Huang, Mahesh Krishnamoorthy

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.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Acoustic Model Fusion for End-to-end Speech Recognition

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

Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices

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.

Federated Learning Language Modelling