Abstract: Environmental Sound Recognition (ESR) is an essential task in audio analysis, involving the identification and classification of sounds from various environmental contexts. This study ...
1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Welcome to this Applied Machine Learning project. This repository contains the implementation of a vehicle sound classification system that predicts the vehicle type among 8 classes based on a .wav ...
Abstract: Urban sound classification plays a crucial role in smart city applications, enabling noise monitoring, emergency detection, and environmental analysis. This paper proposes a lightweight ...
Designed for use with OpenClaw agents. All decoders are direct Python ports of audiocipher.app — encode in the browser, decode in code, or vice versa.
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