ravising-h/Urbansound8k
Sound Classification using Librosa, ffmpeg, CNN, Keras, XGBOOST, Random Forest.
This project helps environmental researchers, urban planners, or acoustic engineers automatically categorize urban sounds from audio recordings. It takes raw audio files and their descriptive metadata as input, processes them to extract key acoustic features, and then classifies them into predefined sound categories like 'dog bark' or 'car horn'. The output is a classification of the sound events within the audio, useful for large-scale environmental monitoring or soundscape analysis.
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Use this if you need to automatically identify and classify different types of sounds present in urban audio recordings.
Not ideal if your primary goal is speech recognition or analyzing musical content.
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Feb 01, 2024
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