Demos

1 Neural Spatio-Temporal Beamformer for Target Speech Separation (complex-valued mask based multi-tap MVDR jointly trained with deep learning method for multi-channel multi-modal target speech separation) DEMO:

https://yongxuustc.github.io/mtmvdr/

2 DNN-based speech enhancement demos:

http://staff.ustc.edu.cn/~jundu/The%20team/yongxu/demo/SE_DNN_taslp.html

http://staff.ustc.edu.cn/~jundu/The%20team/yongxu/demo/IS15.html

Third -party test/verified DNN-based speech enhancement demos : links (by other people around the world)

3 DNN based speech enhancement tool is open now and can be downloaded at:

https://drive.google.com/file/d/0B5r5bvRpQ5DRR1lIV1hpZ0RLQ0E/view

https://github.com/yongxuUSTC/DNN-for-speech-enhancement

4 Easiest deep learning based speech enhancement code using keras

https://github.com/yongxuUSTC/deep_learning_based_speech_enhancement_keras_python

5 My Github website: https://github.com/yongxuUSTC

6 Attention and Localization for audio tagging demo:

https://sites.google.com/view/xuyong/demos/attention_model