A Multimode 157μW 4-Channel 80dBA-SNDR Speech-Recognition Frontend With Self-DOA Correction Adaptive Beamformer
Author:
Affiliation:
1. University of Michigan,Ann Arbor,MI
2. Intel,Santa Clara,CA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9731529/9731102/09731571.pdf?arnumber=9731571
Reference8 articles.
1. A 650?W 4-channel 83dBA-SNDR Speech Recognition Front-End with Adaptive Beamforming and Feature Extraction;kang;IEEE CICC,2021
2. Multi-Channel Signal Processing with Deep Neural Networks for Automatic Speech Recognition;sainath;IEEE/ACM Trans ASLP,2017
3. A 2.3 nJ/Frame Voice Activity Detector-Based Audio Front-End for Context-Aware System-On-Chip Applications in 32-nm CMOS
4. A robust adaptive beamformer for microphone arrays with a blocking matrix using constrained adaptive filters
5. A 98.6?W Acoustic Signal Processor for Fully-Implantable Cochlear Implants;liu;IEEE Int Symp VLSI-DAT,0
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1. 14.8 KASP: A 96.8% 10-Keyword Accuracy and 1.68μJ/Classification Keyword Spotting and Speaker Verification Processor Using Adaptive Beamforming and Progressive Wake-Up;2024 IEEE International Solid-State Circuits Conference (ISSCC);2024-02-18
2. Design of a 1st-Order Continuous-Time $$\Sigma \Delta$$ Modulator with a Digital-Based Floating-Inverter Integrator;Lecture Notes in Electrical Engineering;2023-11-29
3. A 1.5 mm2 4-Channel EEG/BIOZ Acquisition ASIC With 15.2-Bit 3-Step ADC Based on a Signal-Dependent Low-Power Strategy;IEEE Transactions on Biomedical Circuits and Systems;2023-10
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