Source Code

Source code of some of my works can be found below

• L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging.
• SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification.
• XSleepNet: Multi-view deep learning model for sleep stage classification
• sasegan: Self-attention GAN for speech enhancement
• idsegan: Improving GANs for speech enhancement
• sleep_transfer_learning: Towards more accurate automatic sleep staging via deep transfer learning
• SeqSleepNet: End-to-end hierarchical recurrent neural network for sequence-to-sequence automatic sleep staging
• MultitaskSleepNet: Joint classification and prediction CNN framework for automatic sleep stage classification
• Random Regression Forests for audio event detection in continuous audio streams
• 1-Max Pooling CNN for audio event recognition
• Label Tree Embedding for acoustic scene classification
• CNN-LTE (1-max pooling CNN with Label Tree Embedding) for acoustic scene classification
• RNN-LTE (Deep RNN with Label Tree Embedding) for acoustic scene classification