A fractal coding framework for audio data
-
Updated
Jun 20, 2017 - Java
A fractal coding framework for audio data
DDAE speech enhancement on spectrogram domain using Keras
DNN-based speech enhancement using Tensorflow by Haoyu Li (Tokyo univ.)
Real-time speech enhancement based on spectral subtraction
A Conditional Generative Adverserial Network (cGAN) was adapted for the task of source de-noising of noisy voice auditory images. The base architecture is adapted from Pix2Pix.
Deep learning based Speech Beamforming
speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN
Beamforming based binaural speech enhancement as a real time JUCE plugin
A statistical model-based Speech Enhancement Using MMSE-STSA
multichannel linear filters based on mask estimation neural networks for CHiME4
Deep Multi-Speech model
Automatic Speech Recognition
Speech Enhancement for phone support Customer Service with Recurrent Neural Netwotk.
ASPP: Binaural Speech Enhancement with Atomic Speech Presence Probability Estimation
simple delaysum, MVDR and CGMM-MVDR
Contains 4 sub-packages relating to the group's work in artificial bandwidth extension (ABE) published in ICASSP (2x'18, '19) and INTERSPEECH ('18).
SEGAN pytorch implementation https://arxiv.org/abs/1703.09452
Real-time GCC-NMF Blind Speech Separation and Enhancement
Add a description, image, and links to the speech-enhancement topic page so that developers can more easily learn about it.
To associate your repository with the speech-enhancement topic, visit your repo's landing page and select "manage topics."