#计算机科学#A PyTorch-based Speech Toolkit
翻译 - 基于Pytorch的语音工具包
#计算机科学#End-to-End Speech Processing Toolkit
翻译 - 端到端语音处理工具包
#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
翻译 - 针对研究人员的基于PyTorch的音频源分离工具包||提供预训练的模型
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.
Voice Conversion Tool Kit
#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.
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.
Tools for Speech Enhancement integrated with Kaldi
Python implementation of performance metrics in Loizou's Speech Enhancement book
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech
#计算机科学#Pytorch based speech enhancement toolkit.