Research Interests

• Speech enhancement based on statistical signal processing and machine learning
• Ego-noise reduction for humanoid robots
• Audio-visual signal processing

Publications

1. H. Fang, F. Frintrop and T. Gerkmann, "Uncertainty-Driven Hybrid Fusion for Audio-Visual Phoneme Recognition", submitted to 15th ITG Conference on Speech Communication, 2023.
2. H. Fang and T. Gerkmann, "Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian Mixture Models," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023. [doi][Arxiv]
   
3. H. Fang, N. Wittmer, J. Twiefel, S. Wermter and T. Gerkmann, "Partially Adaptive Multichannel Joint Reduction of Ego-Noise and Environmental Noise," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023. [doi] [Arxiv] [Audio]
4. H. Fang, D. Becker, S. Wermter and T. Gerkmann, "Integrating Uncertainty Into Neural Network-Based Speech Enhancement," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 1587-1600, 2023. [doi] [Arxiv]
   
5. H. Fang, T. Peer, S. Wermter and T. Gerkmann, "Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore, 2022, pp. 386-390. [doi] [Arxiv]
6. H. Fang, G. Carbajal, S. Wermter and T. Gerkmann, "Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary," Speech Communication; 14th ITG Conference, online, 2021, pp. 1-5. [doi] [Audio]
7. H. Fang, G. Carbajal, S. Wermter and T. Gerkmann, "Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, ON, Canada, 2021, pp. 676-680. [doi] [Arxiv] [Audio]

Bachelor's/Master's thesis topic

Find here.