Training environmental sound classification models for real-world deployment in edge devices
Manuel Goulão,
Lourenço Bandeira,
Bruno Martins
et al.
Abstract:The interest in smart city technologies has grown in recent years, and a major challenge is to develop methods that can extract useful information from data collected by sensors in the city. One possible scenario is the use of sound sensors to detect passing vehicles, sirens, and other sounds on the streets. However, classifying sounds in a street environment is a complex task due to various factors that can affect sound quality, such as weather, traffic volume, and microphone quality. This paper presents a de… Show more
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