gitmehrdad/FACE
Urban Sound Annotation and Classification
This project helps classify different urban sounds quickly and accurately. It takes raw audio recordings, processes them to identify key sound characteristics, and then categorizes them into types like 'car horn,' 'dog bark,' or 'street music.' This is ideal for researchers studying urban soundscapes or anyone who needs to automatically identify environmental sounds.
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Use this if you need to automatically and accurately categorize a large volume of urban sound recordings into specific event types.
Not ideal if you are looking for a tool to analyze speech, music composition, or animal vocalizations outside of an urban context.
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8
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4
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Dec 01, 2024
Commits (30d)
0
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