This project leverages a U-Net deep learning architecture to remove noise from audio signals. It processes audio into spectrograms, trains the model on clean and noisy pairs, and reconstructs clean audio through denoising. Applications include improving audio quality for telecommunications, voice assistants, and recordings.
☆14Jan 1, 2025Updated last year
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