Language Breakdown
Lines of code distribution across 9 owned repositories
Generalist Developer
G-shapedVersatile across many languages and paradigms
Collaboration Network
Global Impact visualization
Repos
75
PRs
0
Growth
+18%
Top Collaborators
No collaborator data yet.
Coding Streak
Contribution activity over the past year
Huiyong Zhang
@HuiyongZhang-IOA
Paige Tuttösí
@chocobearz
Haohe Liu / 刘濠赫
@haoheliu
Federico Di Marzo
@FedericoDiMarzo
Bing Yang
@BingYang-20
Top Repositories
Python implementation of the Short Term Objective Intelligibility measure
STOI loss function in PyTorch
wsj0-{2, 3, 4, 5} mix generation scripts, in Python.
Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase
A must-read paper for speech separation based on neural networks
Collection of EM algorithms for blind source separation of audio signals
Audio waveform visualisation, converts any audio to a nice video
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.
Implementation for paper "iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning"
Open Source Impact
Contributions to external projects
