AAD-KWS: A Sub-<i>μ</i> W Keyword Spotting Chip With an Acoustic Activity Detector Embedded in MFCC and a Tunable Detection Window in 28-nm CMOS-Reference-Cited by-同舟云学术

AAD-KWS: A Sub-μ W Keyword Spotting Chip With an Acoustic Activity Detector Embedded in MFCC and a Tunable Detection Window in 28-nm CMOS

Published:2023-03 Issue:3 Volume:58 Page:867-876
ISSN:0018-9200
Container-title:IEEE Journal of Solid-State Circuits
language:
Short-container-title:IEEE J. Solid-State Circuits

Author:

Shan Weiwei¹^ORCID,Qian Junyi¹^ORCID,Zhu Lixuan¹,Yang Jun¹^ORCID,Huang Cheng¹^ORCID,Cai Hao¹^ORCID

Affiliation:

1. National ASIC Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/4/10051119/09888232.pdf?arnumber=9888232

Reference37 articles.

1. Approximate Designs for Fast Fourier Transform (FFT) With Application to Speech Recognition

2. Learning the speech front-end with raw waveform CLDNNs

3. AAD-KWS: A sub-?W keyword spotting chip with a zero-cost, acoustic activity detector from a 170 nW MFCC feature extractor in 28 nm CMOS;zhu;Proc IEEE European Solid-State Circuits Conf (ESSCIRC),2021

4. Convolutional neural networks for small-footprint keyword spotting

5. Hello edge: Keyword spotting on microcontrollers;zhang;arXiv 1711 07128,2017

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