jaron/deep-listening
Deep Learning experiments for audio classification
This project helps audio engineers and researchers automatically identify sounds within recordings. It takes raw audio files and processes them to extract key characteristics, then outputs predictions about what kind of sound each recording contains, such as urban noises or birdsong. This is useful for anyone working with large collections of audio and needing to categorize them efficiently.
148 stars. No commits in the last 6 months.
Use this if you need to build or experiment with systems that can automatically classify different types of sounds from audio recordings.
Not ideal if you are looking for a ready-to-use application for audio classification without any programming or deep learning setup.
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148
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42
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Last pushed
Jul 23, 2017
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