%0 Conference Paper %1 conf/icassp/YangLLGS024 %A Yang, Qu %A Liu, Qianhui %A Li, Nan %A Ge, Meng %A Song, Zeyang %A Li, Haizhou %B ICASSP %D 2024 %I IEEE %K dblp %P 221-225 %T SVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks. %U http://dblp.uni-trier.de/db/conf/icassp/icassp2024.html#YangLLGS024 %@ 979-8-3503-4485-1

@inproceedings{conf/icassp/YangLLGS024, added-at = {2024-08-05T00:00:00.000+0200}, author = {Yang, Qu and Liu, Qianhui and Li, Nan and Ge, Meng and Song, Zeyang and Li, Haizhou}, biburl = {https://www.bibsonomy.org/bibtex/29b83e9921de24456e1dec8e4ecd4e6b3/dblp}, booktitle = {ICASSP}, crossref = {conf/icassp/2024}, ee = {https://doi.org/10.1109/ICASSP48485.2024.10446945}, interhash = {d6b4bd59ff7df60c149a6956c652d2aa}, intrahash = {9b83e9921de24456e1dec8e4ecd4e6b3}, isbn = {979-8-3503-4485-1}, keywords = {dblp}, pages = {221-225}, publisher = {IEEE}, timestamp = {2024-08-12T07:12:44.000+0200}, title = {SVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks.}, url = {http://dblp.uni-trier.de/db/conf/icassp/icassp2024.html#YangLLGS024}, year = 2024 }