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Name: Auditory Model and Cognitive Computing Lab

Type: Organization

Bio: Auditory Model and Cognitive Computing Laboratory @ Institute of Automation, Chinese Academy of Sciences

Location: Beijing, China

Auditory Model and Cognitive Computing Lab's Projects

advr-avss icon advr-avss

Pytorch implementation of our paper: Audio-Visual Speech Separation with Visual Features Enhanced by Adversarial Training.

hcrn icon hcrn

PyTorch implementation of HCRN described in our paper "Towards Modeling Auditory Restoration in Noisy Environments"

limuse icon limuse

PyTorch implementation of LiMuSE

oavss icon oavss

Pytorch implementation of the paper: "Online Audio-Visual Speech Separation with Generative Adversarial Training"

realmuss icon realmuss

Website: https://aispeech-lab.github.io/RealMuSS/

sdnet icon sdnet

Pytorch implemention of SDNet

tinywase icon tinywase

PyTorch implementation of TinyWASE described in our paper "Compressing Speaker Extraction Model with Ultra-low Precision Quantization and Knowledge Distillation"

visbci icon visbci

Pytorch codes of our paper "Improving Cross-State and Cross-Subject Visual ERP-based BCI with Temporal Modeling and Adversarial Training"

wase icon wase

PyTorch implementation of WASE described in our ICASSP 2021: "Wase: Learning When to Attend for Speaker Extraction in Cocktail Party Environments"

wase_202112 icon wase_202112

PyTorch implementation of WASE described in our ICASSP 2021: "Wase: Learning When to Attend for Speaker Extraction in Cocktail Party Environments"

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