A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction
Author:
Affiliation:
1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
2. Institute of Neuroinformatics, University of Zürich and ETH Zürich, Zürich, Switzerland
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/4/9926114/09858110.pdf?arnumber=9858110
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2023-12
2. A 291nW Real-Time Event-Driven Spectrogram Extraction unit in 28nm FD-SOI CMOS for Keyword Spotting Application;ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC);2023-09-11
3. A 34.7 µW Speech Keyword Spotting IC Based on Subband Energy Feature Extraction;Electronics;2023-07-31
4. High-Accuracy and Energy-Efficient Acoustic Inference using Hardware-Aware Training and a 0.34nW/Ch Full-Wave Rectifier;2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS);2023-06-11
5. An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21
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