AI RESEARCH
TinyML for Acoustic Anomaly Detection in IoT Sensor Networks
arXiv CS.LG
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ArXi:2603.26135v1 Announce Type: new Tiny Machine Learning enables real-time, energy-efficient data processing directly on microcontrollers, making it ideal for Internet of Things sensor networks. This paper presents a compact TinyML pipeline for detecting anomalies in environmental sound within IoT sensor networks. Acoustic monitoring in IoT systems can enhance safety and context awareness, yet cloud-based processing