#计算机科学#A PyTorch-based Speech Toolkit
#计算机科学#Noise supression using deep filtering
#计算机科学#An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.
#计算机科学#The PyTorch-based audio source separation toolkit for researchers
AI powered speech denoising and enhancement
General Speech Restoration
StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.
A must-read paper for speech separation based on neural networks
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
#计算机科学#Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
Voice Conversion Tool Kit
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
Python implementation of performance metrics in Loizou's Speech Enhancement book
Tools for Speech Enhancement integrated with Kaldi
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
The official implementation of GTCRN, an ultra-lightweight SE model.
Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech