Conference

  1. Korshunov, Pavel, Chen, Haolin , Garner, Philip N. and Marcel, Sébastien. “Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes” In Proc. IEEE International Joint Conference on Biometrics 2023. [Link]
  2. Chen, Haolin, He, Mutian, Coppieters de Gibson, Louise and Garner, Philip N. “The Idiap Speech Synthesis System for the Blizzard Challenge 2023” In Proc. 18th Blizzard Challenge Workshop. [Link]
  3. Chen, Haolin and Garner, Philip N. “Diffusion transformer for adaptive text-to-speech” In Proc. 12th ISCA Speech Synthesis Workshop (SSW 12). [Link]
  4. Mai, Florian, Pannatier, Arnaud, Fehr, Fabio, Chen, Haolin, Marelli, François, Fleuret, Francois and Henderson, James. “HyperMixer: An MLP-based Low Cost Alternative to Transformers” In Proc. of the 61st Annual Meeting of the Association for Computational Linguistics. [Link]
  5. Shi, Ying, Chen, Haolin, Li, Lantian, Tang, Zhiyuan, Wang, Dong and Han, Jiqing. “Can we trust deep speech prior?” In Proc. 2021 IEEE Spoken Language Technology Workshop (SLT). [Link]
  6. Fan, Yue, Kang, Jiawen, Li, Lantian, Li, Kaicheng, Chen, Haolin, Cheng, Sitong, Zhang, Pengyuan, Zhou, Ziya, Cai, Yunqi and Wang, Dong. “CN-CELEB: a challenging Chinese speaker recognition dataset.” In Proc. of International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020. [Link]

Preprints

  1. Chen, Haolin and Garner, Philip N. “Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting” arXiv: 2402.12220. [Link]
  2. Chen, Haolin and Garner, Philip N. “An investigation into the adaptability of a diffusion-based TTS model” arXiv: 2303.01849. [Link]