Weak Speech Signal Detection in High Interference Environment Based on Distributed Acoustic Sensing
INTERNET OF THINGS|更新时间:2025-03-21
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Weak Speech Signal Detection in High Interference Environment Based on Distributed Acoustic Sensing
“In the field of tunnel collapse accident search and rescue, experts have proposed an algorithm based on short-term autocorrelation features to effectively extract human voice signals in low signal-to-noise ratio environments, providing a new solution for speech activity detection in complex scenes.”
Zhang Chensi,Wang Maoning,Zhong Yuzhong,et al.Weak speech signal detection in high interference environment based on distributed acoustic sensing[J].Advanced Engineering Sciences,2025,57(2):29–39
Zhang Chensi,Wang Maoning,Zhong Yuzhong,et al.Weak speech signal detection in high interference environment based on distributed acoustic sensing[J].Advanced Engineering Sciences,2025,57(2):29–39 DOI: 10.12454/j.jsuese.202300803.
Weak Speech Signal Detection in High Interference Environment Based on Distributed Acoustic Sensing