2 Analog Voice Activity Detector (VAD) Featuring a Time-Domain CNN as a Programmable Feature Extractor and a Sparsity-Aware Computational Scheme in 28nm CMOS

Feifei Chen, Ka-Fai Un, Wei-Han Yu, Pui-In Mak, Rui Paulo Martins. 2 Analog Voice Activity Detector (VAD) Featuring a Time-Domain CNN as a Programmable Feature Extractor and a Sparsity-Aware Computational Scheme in 28nm CMOS. In IEEE International Solid-State Circuits Conference, ISSCC 2022, San Francisco, CA, USA, February 20-26, 2022. pages 1-3, IEEE, 2022. [doi]

@inproceedings{ChenUYMM22,
  title = {2 Analog Voice Activity Detector (VAD) Featuring a Time-Domain CNN as a Programmable Feature Extractor and a Sparsity-Aware Computational Scheme in 28nm CMOS},
  author = {Feifei Chen and Ka-Fai Un and Wei-Han Yu and Pui-In Mak and Rui Paulo Martins},
  year = {2022},
  doi = {10.1109/ISSCC42614.2022.9731720},
  url = {https://doi.org/10.1109/ISSCC42614.2022.9731720},
  researchr = {https://researchr.org/publication/ChenUYMM22},
  cites = {0},
  citedby = {0},
  pages = {1-3},
  booktitle = {IEEE International Solid-State Circuits Conference, ISSCC 2022, San Francisco, CA, USA, February 20-26, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-2800-2},
}