The project aims to reduce noise from audio files using signal processing and deep learning techniques. It utilizes Fourier transform for frequency-based noise reduction and an Autoencoder model trained on noisy audio data to generate noise-free signals. Implemented in Python and TensorFlow.
Audio_Denoising_Using_FFT_And_CNN.mp4
