Joseph Konan's repositories
jhkonan.github.io
Fall 2019 Website for 11-785, Introduction to Deep Learning
deeplearning.cs.cmu.edu
11-785 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.
opensmile-python
Python package for openSMILE
personal-website
Personal website for Joseph Konan
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration