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Deep Spoken Keyword Spotting: An Overview

Ivan Lopez-Espejo, Zheng-Hua Tan, John Hansen, Jesper Jensen
2021 IEEE Access  
2018 – IEEE in Proceedings of INTERSPEECH 2020 – 21st Annual Conference of Biomedical Circuits and Systems Conference, October 17-19, Cleveland,  ...  17, Shanghai, China, 2019, pp. 402–406. verification [260], [261]  ... 
doi:10.1109/access.2021.3139508 fatcat:i4pfpfxcpretlkbefp7owtxcti

Deep learning enabled real-time photoacoustic tomography system via single data acquisition channel

Hengrong Lan, Daohuai Jiang, Feng Gao, Fei Gao
2021 Photoacoustics  
system.  ...  The significance of this novel PACT system is that it dramatically reduces the cost of multi-channel DAQ module (from 120 channels to 1 channel), paving the way to a portable, low-cost and real-time PACT  ...  Acknowledgements This research was funded by Natural Science Foundation of Shanghai (18ZR1425000), and National Natural Science Foundation of China (61805139).  ... 
doi:10.1016/j.pacs.2021.100270 pmid:34026492 pmcid:PMC8122165 fatcat:egeeeactffdplildae4pd3nk2a

Review of deep learning for photoacoustic imaging

Changchun Yang, Hengrong Lan, Feng Gao, Fei Gao
2021 Photoacoustics  
Deep neural networks have great potential in medical imaging technology, medical data analysis, medical diagnosis and other healthcare issues, and is promoted in both pre-clinical and even clinical stages  ...  Later, it was widely used in academia and industry. Ranging from image analysis to natural language processing, it fully exerted its magic and now become the state-of-the-art machine learning models.  ...  Acknowledgments This research was funded by Start-up grant of ShanghaiTech University (F-0203-17-004), Natural Science Foundation of Shanghai (18ZR1425000), and National Natural Science Foundation of China  ... 
doi:10.1016/j.pacs.2020.100215 pmid:33425679 pmcid:PMC7779783 fatcat:7nhzn342dvhurkxyvgzpwwuotm