A Multimode 157 μW 4-Channel 80 dBA-SNDR Speech Recognition Frontend With Direction-of-Arrival Correction Adaptive Beamformer

This work introduces a speech recognition frontend system that solves the problems of conventional adaptive beamforming (ABF) with: 1) low digital signal processing (DSP) power consumption (3<inline-formula> <tex-math notation="LaTeX">\times </tex-math></inline-formula...

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Bibliographic Details
Published in:IEEE journal of solid-state circuits Vol. 59; no. 6; pp. 1794 - 1808
Main Authors: Kang, Taewook, Lee, Seungjong, Song, Seungheun, Haghighat, Mohammad Reza, Flynn, Michael P.
Format: Journal Article
Language:English
Published: New York IEEE 01-06-2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:This work introduces a speech recognition frontend system that solves the problems of conventional adaptive beamforming (ABF) with: 1) low digital signal processing (DSP) power consumption (3<inline-formula> <tex-math notation="LaTeX">\times </tex-math></inline-formula> lower than state-of-the-art ABF) thanks to an innovative greedy blocking matrix (GBM) employing simple calculations; 2) automatic direction-of-arrival (DOA) error compensation with direction tracking delay-and-sum beamformer aided by the GBM; 3) a multimode hybrid analog-to-digital converter (ADC) adapts to signal conditions; and 4) multimode beamforming takes advantage of high-signal signal-to-noise ratio (SNR) to reduce total power by 54%. A prototype fabricated in a 40 nm process occupies 0.94 mm2 while consuming 157 and 72 <inline-formula> <tex-math notation="LaTeX">\mu \text{W} </tex-math></inline-formula> in high-power and low-power modes, respectively. The proposed system improves speech recognition accuracy from 54% to 83% under noisy conditions.
ISSN:0018-9200
1558-173X
DOI:10.1109/JSSC.2023.3327967