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Emon 402 by Ali Taswoar is a document available to read on EtoBox.
What is Emon 402 about?
The document proposes a dual-branch front end methodology for noise-robust urban audio classification, addressing challenges such as low signal-to-noise ratio (SNR) and overlapping sound sources. It outlines objectives including the design and validation of the proposed system, as well as evaluating its robustness under various urban noise conditions. The study aims to enhance the accuracy and practicality of urban sound classification for smart city applications.
- Author
- Ali Taswoar
- Language
- EN