Demo Abstract: Acoustic Anomaly Detection System
Proceedings of the 17th Conference on Embedded Networked Sensor Systems(2019)
摘要
Acoustic signals contain rich information of the environment. They can be used for detecting anomalous events such as in automated machine monitoring. In this demonstration, we present our acoustic anomaly detection system that captures acoustic signals and classifies them using machine learning techniques. Our system includes a server for sound management and model training, a mobile client for sound capturing and real-time classification, and a workbench that acts as a user interface. We will show the full operational pipeline of our system in this demonstration.
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关键词
acoustic signal analytics, anomaly detection, machine learning
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