no code implementations • 26 Apr 2024 • Zhipeng Huang, Jianhao Ding, Zhiyu Pan, Haoran Li, Ying Fang, Zhaofei Yu, Jian K. Liu
One of the mainstream approaches to implementing deep SNNs is the ANN-SNN conversion, which integrates the efficient training strategy of ANNs with the energy-saving potential and fast inference capability of SNNs.
no code implementations • 21 Feb 2024 • Rui Zhou, Xian Li, Ying Fang, Xiaofei Li
In this work, we propose Mel-FullSubNet, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
1 code implementation • 15 Sep 2023 • Ying Fang, Xiaofei Li
Then, the feature frames with unimodal weights are integrated and further processed by a decoder.
Ranked #5 on Speech Recognition on AISHELL-1
1 code implementation • 21 Oct 2022 • Zhile Yang, Shangqi Guo, Ying Fang, Jian K. Liu
One stream of reinforcement learning research is exploring biologically plausible models and algorithms to simulate biological intelligence and fit neuromorphic hardware.
no code implementations • 29 Dec 2018 • Lianfa Li, Ying Fang, Jun Wu, Jinfeng Wang
To have a superior generalization, a deep learning neural network often involves a large size of training sample.