- Developing deep learning algorithms for various signal processing, including speech and brain signal.
- Text-to-speech (TTS) synthesis
- Developing neural vocoder using domain-specific knowledge.
- Developing TTS system based on deep learning algorithms used in natural language processing (NLP).
- Speech enhancement using deep learning
- Developing noise-robust speech enhancement method based on neural vocoders.
- Developing neural networks based on domain-specific knowledge for speech enhancement to reduce model complexity.
- Audio-video speech enhancement (AVSE)
- Developing speech enhancement method using features extracted from video.
Brain Computer Interface
- Analysis for brain signal
- Developing deep learning based feature extraction algorithms for electroencephalograms (EEG) to improve performance of BCI system.
- Motor imagery classification
- Developing deep learning/machine learning algorithms for improving classification accuracy.
- Sleep stage classification
- Developing neural networks for sleep stage classification.
- Developing neural encoder based on attention mechanism to capture features represented on EEG waves.