linksense / ConvolutionaNeuralNetworksToEnhanceCodedSpeechLinks
In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral d…
☆28Updated 5 years ago
Alternatives and similar repositories for ConvolutionaNeuralNetworksToEnhanceCodedSpeech
Users that are interested in ConvolutionaNeuralNetworksToEnhanceCodedSpeech are comparing it to the libraries listed below
Sorting:
- Implementation for paper "iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric L…☆55Updated 2 years ago
- This repository is an extension of GAN based speech enhancement called SEGAN, and we present two modifications to make model training mor…☆37Updated 2 years ago
- Keras implementation of speech enhancement based on LSGAN☆20Updated 7 years ago
- An Experimental Study on Speech Enhancement based on DNN.☆14Updated 7 years ago
- ☆54Updated 6 years ago
- This is a project on working/resolving the speech separation problem using supervised learning on various training targets, building mach…☆34Updated 8 years ago
- A neural network consist of cnn and lstm for speech enhancement☆24Updated 7 years ago
- implementation of Monaural Speech Enhancement with Recursive Learning in the Time Domain☆45Updated 4 years ago
- This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of a…☆95Updated 5 years ago
- ☆20Updated 4 years ago
- "An Improved Deep Embedding Learning Method for Short Duration Speaker Verification" pytorch implementation☆19Updated 7 years ago
- ☆10Updated 8 years ago
- Distributed semi-constrained microphone arrays☆29Updated last year
- Neural Dereverberation☆35Updated 6 years ago
- Official repo for "A MODULATION-DOMAIN LOSS FOR NEURAL-NETWORK-BASED REAL-TIME SPEECH ENHANCEMENT" to appear in ICASSP 2021☆40Updated 4 years ago
- A perceptual weighting filter loss for DNN training in speech enhancement☆24Updated 3 years ago
- Time-domain Audio Separation Network (IN PYTORCH)☆23Updated 6 years ago
- Meta-embeddings are a probabilistic generalization of embeddings in machine learning.☆23Updated 6 years ago
- Universal Deep neural network based speech enhancement demo and tools, well pre-trained DNN model☆66Updated 2 years ago
- about Speech enhancement☆33Updated 7 years ago
- ☆23Updated 3 years ago
- Audio samples for the paper "TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids"☆46Updated 5 years ago
- A PyTorch implementation of Conv-TasNet☆46Updated 5 years ago
- ☆20Updated 5 years ago
- The QUT-NOISE database and protocols☆30Updated 8 years ago
- A non-intrusive objective metric for speech quality and intelligibility for normal hearing listeners and cochlear implant users☆72Updated 2 years ago
- microphone array speech generator (MASG) in room acoustic☆37Updated 5 years ago
- Components loss for neural networks in mask-based speech enhancement☆33Updated 4 years ago
- Speech enhancement system for the CHiME-5 dinner party scenario☆109Updated 8 months ago
- ☆38Updated 5 years ago