• Corpus ID: 31754948

Real-Time Wind Noise Detection and Suppression with Neural-Based Signal Reconstruction for Mult-Channel, Low-Power Devices

@article{Rhodes2017RealTimeWN,
  title={Real-Time Wind Noise Detection and Suppression with Neural-Based Signal Reconstruction for Mult-Channel, Low-Power Devices},
  author={Anthony D. Rhodes},
  journal={ArXiv},
  year={2017},
  volume={abs/1710.00082}
}
  • A. Rhodes
  • Published 29 September 2017
  • Computer Science
  • ArXiv
Active wind noise detection and suppression techniques are a new and essential paradigm for enhancing ASR-based functionality with smart glasses, in addition to other wearable and smart devices in the broader IoT (Internet of things. [] Key Method In the first case, we advance a real-time wind detection algorithm (RTWD) that uses two distinct sets of low-dimensional signal features to discriminate the presence of wind noise with high accuracy.

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