no code implementations • 27 Oct 2023 • Peng Xie, Zihao Xin, Yang Wang, Shengjun Huang, Tsz Wai Chan, Kani Chen
We proposed a novel evaluation metric called FAL, which assesses an Automatic Speech Recognition (ASR) system based on fidelity to the original audio, accuracy, and latency.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • 30 Nov 2022 • Bin Shan, Ye Li, Shengjun Huang
Although physics-informed neural networks(PINNs) have progressed a lot in many real applications recently, there remains problems to be further studied, such as achieving more accurate results, taking less training time, and quantifying the uncertainty of the predicted results.
no code implementations • 29 Jul 2022 • Xiaofeng Cao, Weixin Bu, Shengjun Huang, MinLing Zhang, Ivor W. Tsang, Yew Soon Ong, James T. Kwok
In future, learning on small data that approximates the generalization ability of big data is one of the ultimate purposes of AI, which requires machines to recognize objectives and scenarios relying on small data as humans.
no code implementations • 18 Jul 2022 • Wenhua Li, Shengjun Huang, Tao Zhang, Rui Wang, Ling Wang
Binary matrix optimization commonly arise in the real world, e. g., multi-microgrid network structure design problem (MGNSDP), which is to minimize the total length of the power supply line under certain constraints.