Energy-Quality Scalable Analog-to-Digital Conversion and Machine Learning Engine in a 51.9 nJ/frame Voice Activity Detector

Jinq Horng Teo, Shuai Cheng, Massimo Alioto. Energy-Quality Scalable Analog-to-Digital Conversion and Machine Learning Engine in a 51.9 nJ/frame Voice Activity Detector. In 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019, Genoa, Italy, November 27-29, 2019. pages 174-177, IEEE, 2019. [doi]

@inproceedings{TeoCA19,
  title = {Energy-Quality Scalable Analog-to-Digital Conversion and Machine Learning Engine in a 51.9 nJ/frame Voice Activity Detector},
  author = {Jinq Horng Teo and Shuai Cheng and Massimo Alioto},
  year = {2019},
  doi = {10.1109/ICECS46596.2019.8964767},
  url = {https://doi.org/10.1109/ICECS46596.2019.8964767},
  researchr = {https://researchr.org/publication/TeoCA19},
  cites = {0},
  citedby = {0},
  pages = {174-177},
  booktitle = {26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019, Genoa, Italy, November 27-29, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-0996-1},
}