dereverberation-and-denoising
Reverb removal tools
Tools for estimating room impulse response and exemplar weights to remove reverberation from noisy speech
MATLAB codes for estimating the room impulse response (RIR) and exemplar weights for speech dereverberation in noisy environments using the NMF and NMD -based techniques
40 stars
6 watching
30 forks
Language: Matlab
last commit: over 7 years ago
Linked from 1 awesome list
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 shamim-hussain/speech_dereverbaration_using_lp_residual | A MATLAB implementation of a single-channel speech dereverberation method using LP residual inverse filtering | 45 |
 niaid/dsb | Deconvolution method to remove noise from antibody-derived tag data | 64 |
 peak1995/speech-enhancement-dsp | This repository provides MATLAB implementations of traditional speech enhancement techniques including spectral subtraction, Wiener filtering, and Kalman filtering. | 84 |
 nvlabs/snn | An image denoising algorithm implementing a statistical approach to improve traditional methods | 42 |
 nv-tlabs/steal | Develops a method to create high-quality training data from noisy labels in semantic segmentation tasks. | 478 |
 xiaoboxia/cdr | An implementation of a PyTorch-based deep learning method to improve robustness against noisy labels in image classification tasks | 75 |
 xlearning-scu/2021-cvpr-mrl | Develops a robust learning framework to handle noisy labels in multimodal data and improve cross-modal retrieval. | 13 |
 njusthyk1972/nlh | Software implementing a blind pixel-level non-local method for image denoising using additive Gaussian white noise. | 49 |
 ysnan/vem-nbd | Provides pre-trained models and benchmark results for noise-blind image deblurring, allowing developers to test and compare different approaches. | 14 |
 udibr/noisy_labels | This project explores how to adapt neural networks to noisy labels by introducing a mechanism that can learn to correct the errors. | 118 |
 chosj95/mimo-unet | Develops a deep learning model for single image deblurring with improved performance and computational efficiency | 382 |
 cszn/ircnn | This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. | 602 |
 perception-and-neurodynamics-laboratory/matlab-toolbox-for-dnn-based-speech-separation | A Matlab toolbox for supervised speech separation using deep neural networks | 45 |
 invokerer/deeprft | Deblurring technique using deep learning and Fourier transformation to remove image blur | 248 |
 fayolle/bbdeblur | Provides MATLAB implementation of reverse filtering methods for deblurring noisy images | 3 |