A speech enhancement tool NsPC using some webRTC functions and libs
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Updated
Mar 26, 2020 - C
A speech enhancement tool NsPC using some webRTC functions and libs
Acoustic Beamformer using an Ad-Hoc array of smartphones
Scene Noise Dataset
TF1 implementation of 'Phase-Aware Speech Enhancement with Deep Complex U-Net' paper
Speech Enhancement for phone support Customer Service with Recurrent Neural Netwotk.
speech-enhancement-flask
Thesis project for Speech Separation using Deep Learning
Baselines for the UDASE task of the CHiME-7 challenge
In-Car Noise Dataset
A PyTorch implementation of "Improving noise robust automatic speech recognition with single-channel time-domain enhancement network"
Project for the Signal Processing course @acs, UPB 2021
Denoising speech audio using different types of CNN's combined with MFCC's.
code and detailed results for the paper Thoidis I., Vrysis L., Markou D., Papanikolaou, G. Temporal Auditory Coding Features for Causal Speech Enhancement. Electronics 2020, 9, 1698.
This thesis applies an autoencoder deep neural network to the multichannel speech enhancement problem. It takes the problem from dataset generation to the model training
noise suppression module from WebRTC
Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemented for the task of speech enhancement in the time-domain.
unofficial implementation of "A Causal U-net based Neural Beamforming Network for Real-Time Multi-Channel Speech Enhancement"
Scene Noise Dataset
Far-filed Noise Speech Dataset
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