A PyTorch-based Speech Toolkit
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Updated
Jun 30, 2024 - Python
A PyTorch-based Speech Toolkit
End-to-End Speech Processing Toolkit
Noise supression using deep filtering
Clarity Challenge toolkit - software for building Clarity Challenge systems
StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.
a python library for speech enhancement
On-device noise suppression powered by deep learning
AI powered speech denoising and enhancement
Open implementation of UNIVERSE and UNIVERSE++ diffusion-based speech enhancement models.
Make the sound you hear pure and clean by deep learning.
Scripts for data generation, scoring and data manifest preparation for CHiME-8 DASR task.
Python implementation of performance metrics in Loizou's Speech Enhancement book
General Speech Restoration
Scripts for preprocessing COG-MHEAR Audio-Visual Speech Enhancement Challenge (AVSEC)
A training code template for DNN-based speech enhancement.
Simple PyTorch Denoisers for Waveform Audio
The official implementation of GTCRN, an ultra-lite speech enhancement model.
TF1 implementation of 'Phase-Aware Speech Enhancement with Deep Complex U-Net' paper
The PyTorch-based audio source separation toolkit for researchers
MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra
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