Multimedia Technologies Unit's repositories
multimedia-eurecat.github.io
Open source code of the Multimedia Technologies Unit (MTU) website
denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
libmysofa
Reader for AES SOFA files to get better HRTFs
minstrel
Minstrel is a FLOSS hybrid reading app specifically designed for Audio-eBooks
Neuromuse
Code used for experiments conducted in Neuromuse
new-project
New project creation guidelines
SampleRNN
Tensorflow implementation of SampleRNN