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Jing Li's Projects

audio2gestures icon audio2gestures

Audio2Motion Official implementation for Audio2Motion: Generating Diverse Gestures from Speech with Conditional Variational Autoencoders.

dancerevolution icon dancerevolution

Code for paper Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning

denoiser icon 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.

dlib icon dlib

A toolkit for making real world machine learning and data analysis applications in C++

pymo icon pymo

A library for machine learning research on motion capture data

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