Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees-Reference-Cited by-同舟云学术

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Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees

Published:2014-09 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
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Author:

Lauwereins Steven,Meert Wannes,Gemmeke Jort,Verhelst Marian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6945945/6958838/06958918.pdf?arnumber=6958918

Cited by 6 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. Hardware Implementations for Voice Activity Detection: Trends, Challenges and Outlook;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-03

2. Voice Activated IoT Devices for Healthcare: Design Challenges and Emerging Applications;IEEE Transactions on Circuits and Systems II: Express Briefs;2022-07

3. Always-On Sparse Event Wake-Up Detectors: A Review;IEEE Sensors Journal;2022-05-01

4. Features and Always-On Wake-Up Detectors for Sparse Acoustic Event Detection;Electronics;2022-02-06

5. Introduction;Hardware-Aware Probabilistic Machine Learning Models;2021

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