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Found 3 papers, 1 papers with code
An Empirical Evaluation of Neural and Neuro-symbolic Approaches to Real-time Multimodal Complex Event Detection
Robots and autonomous systems require an understanding of complex events (CEs) from sensor data to interact with their environments and humans effectively.
Deep Residual Neural Networks for Audio Spoofing Detection
Additionally, replay attacks where the attacker uses a speaker to replay a previously recorded genuine human speech are also possible.
SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation
second, we use another LSTM network based discriminator model for distinguishing between the true and the synthesized data.
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