acen20/cnn-tf-keras-audio-classification
Feature extraction from sound signals along with complete CNN model and evaluations using tensorflow, keras and, librosa for MFCC generation
This project helps classify different types of sounds by analyzing their unique acoustic properties. You provide a collection of audio files, organized by the type of sound they contain (e.g., 'dog bark', 'rain', 'music'). The system processes these sounds to extract key features and then uses those features to identify new, unknown sounds. This is for anyone who needs to automatically categorize audio recordings, such as researchers studying animal vocalizations or soundscape ecologists.
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Use this if you have audio recordings that you want to automatically sort into predefined categories.
Not ideal if you need to analyze speech content or classify sounds with sample rates lower than 22050 Hz.
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Jan 01, 2022
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