1 repositorio
Awesome GitHub RepositoriesVoice Isolation Models
Neural network models specifically designed to separate human speech from ambient background noise.
Distinct from Deep Learning Audio Libraries: Focuses on the application of speech isolation rather than general audio synthesis or library infrastructure.
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Awesome Voice Isolation Models GitHub Repositories
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- wwmm/easyeffects
wwmm/easyeffects
9,690Ver en GitHubEasyEffects is a real-time audio processor and system-wide effects manager designed for PipeWire audio streams. It functions as a comprehensive suite for applying filters, equalizers, and limiters to both input and output audio across the entire system. The project distinguishes itself through its use of deep learning for neural network noise suppression and voice isolation, as well as its ability to simulate physical acoustic environments using impulse-response convolution. It includes a sophisticated preset management system that allows users to associate specific audio configurations with
Uses deep learning models to isolate voice from ambient noise and preserve speech intelligibility.
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