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Title: 0.08mm² 128nW MFCC engine for ultra-low power, always-on smart sensing applications
Authors: Chong, Yi Sheng
Goh, Wang Ling
Ong, Yew Soon
Nambiar, Vishnu P.
Do, Anh Tuan
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Chong, Y. S., Goh, W. L., Ong, Y. S., Nambiar, V. P. & Do, A. T. (2022). 0.08mm² 128nW MFCC engine for ultra-low power, always-on smart sensing applications. 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2680-2684.
Project: A1687b0033 
Abstract: Mel frequency cepstral coefficient (MFCC) features are widely used in applications such as keyword spotting, bearing fault detection and heart sound classification. This work proposes a low power MFCC engine that enables its use for battery-powered edge applications. Three hardware algorithm co-optimizations were adopted to achieve energy efficient MFCC hardware implementation. The approximated MFCC features due to the optimizations still allows good accuracy when deployed in several applications such as keyword spotting and bearing fault detection, reporting negligible accuracy drop of 1.5%. The proposed MFCC hardware consumes only 128nW at 0.3V supply and occupies only 0.08mm2 in 40nm CMOS technology, which are 5x and 2.75x power and area reduction respectively when compared to the prior arts.
DOI: 10.1109/ISCAS48785.2022.9937315
Rights: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at:
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers
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