Shypd.aiThe largest open index of AI toolsSpeech-enhancement is an open-source deep learning tool for audio denoising. It builds a speech enhancement system to attenuate environmental noise using U-Net architecture and spectrogram analysis.
Trending
Also listed in
About
Speech-enhancement is an open-source deep learning project designed for audio denoising, specifically focusing on attenuating environmental noise from speech. The system leverages spectrograms, a 2D representation of audio, to apply Convolutional Neural Network (CNN) architectures, similar to those used in image processing. It utilizes a U-Net model, a Deep Convolutional Autoencoder with symmetric skip connections, adapted to denoise spectrograms. The project supports data creation, training, and prediction modes, allowing users to prepare datasets from various sources like LibriSpeech and ESC-50, train the U-Net model, and then predict and subtract noise models from noisy audio. It provides pre-trained weights and offers a flexible framework for speech enhancement.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
