This repository is for ADENet introduced in the following paper: J. Xiong, Y. Zhou, P. Zhang, L. Xie, W. Huang and Y. Zha, "Look&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement", (IEEE Transactions on Multimedia, 2022)

Project link:ADENet

Start from building the environment

conda env create -f env.yaml

The following script can be used to download and prepare the AVA dataset for training.

python trainADENet.py --dataPathAVA AVADataPath --download 

AVADataPath is the folder you want to save the AVA dataset and its preprocessing outputs, the details can be found in /utils/tools.py. Please read them carefully.

1. Download the MUSAN dataset openslr
2. Using following script can clip noise audio, generate training set, validation set, test set

python generate_speech_noise 

Then you can train ADENet in AVA end-to-end by using:

python trainADENet.py --dataPathAVA AVADataPath ----dataPathMUSAN MUSANDataPath --savePath savePath

Using parameter --isDown, --isDown to control cross-modal circulant fusion

Please cite the following if our paper or code is helpful to your research.

@ARTICLE{9858007,
  author={Xiong, Junwen and Zhou, Yu and Zhang, Peng and Xie, Lei and Huang, Wei and Zha, Yufei},
  journal={IEEE Transactions on Multimedia}, 
  title={Look&listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement}, 
  year={2022},
  volume={},
  number={},
  pages={1-14},
  doi={10.1109/TMM.2022.3199109}}

This is my first open-source work, please let me know if I can future improve in this repositories or there is anything wrong in our work. Thanks for your support!