Anwarvic/CNN-for-Raw-Waveforms
This is my PyTorch implementation of the "Very Deep Convolutional Neural Networks For Raw Waveforms" research paper published in 2016.
This project helps audio engineers or researchers classify environmental sounds directly from raw audio files, eliminating the need for complex pre-processing. It takes short WAV audio files as input and outputs a classification of the sound event. This is designed for anyone working with acoustic monitoring, soundscape analysis, or building sound-aware systems.
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Use this if you need to categorize environmental sounds from raw audio data efficiently, without extensive feature engineering.
Not ideal if you are looking for a pre-trained, production-ready model or if your audio data requires real-time processing.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Aug 24, 2021
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