DrStef/Deep-Learning-and-Digital-Signal-Processing-for-Environmental-Sound-Classification
Automatic environmental sound classification (ESC) based on ESC-50 dataset (and ESC-10 subset)
This project helps environmental scientists, urban planners, and audio monitoring specialists automatically identify specific sounds in audio recordings. It takes raw audio clips, like recordings from wildlife sensors or city soundscapes, and processes them to output classifications such as 'dog bark,' 'rain,' or 'helicopter.' This is ideal for anyone needing to categorize environmental sounds for analysis without manual listening.
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Use this if you need a highly accurate system to classify environmental sounds, especially in complex or noisy real-world conditions where traditional methods might struggle.
Not ideal if your primary goal is speech recognition or music genre classification, as this project is specifically optimized for general environmental sounds.
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MIT
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Last pushed
May 11, 2025
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