Yilin Pan
Yilin Pan
PhD candidate
Speech and Hearing Research Group (SpandH)
Department of Computer Science
University of Sheffield
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I am a PhD candidate at Department of Computer Science (DCS), University of Sheffield, and a member of the Speech and Hearing (SpandH) group. I am supervised by Prof Heidi Christensen.

I am a Early Stage Researcher (ESR) on the European Union H2020 Training Network on Automatic Processing of Pathological Speech (TAPAS). My research project is Using Speech Analysis to Detect Onset and Monitor Cognitive Decline funded by Training Network on Automatic Processing of PAthological Speech (2018-2022).

My research interests include speech based cognitive impairment (e.g. people with dementia, stroke, and/or other mental disorders) detection, speaker verification, speech processing and natural language processing. More detailed information can be found in my CV (English version, Chinese version).


PhD:

SpandH Research Group, Computer Science Department, the University of Sheffield, UK (2018-2022)

Master:

SpLab Research Group, Computer Science Department, Harbin Institute Technology, China (2015-2017)

Bachelor:

Computer Science Department, Northeastern University, China (2011-2015)


Conference papers

  • Pan, Y.*, Mirheidari, B.*, Harris, J. M., Thompson, J. C., Jones, M., Snowden, J. S., Blackburn, D., and Christensen, H. ( (2021). Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic-and BERT-Based Alzheimer’s Dementia Detection Through Spontaneous Speech. Interspeech 2021. bib link
  • Pan, Y., Nallanthighal, V. S., Blackburn, D., Christensen, H., & Härmä, A. (2021). Multi-Task Estimation of Age and Cognitive Decline from Speech. In ICASSP (pp. 7258-7262). bib link
  • Pan, Y., Mirheidari, B., Tu, Z., O'Malley, R., Walker, T., Venneri, A., Reuber, M., Blackburn, D., & Christensen, H. (2020). Acoustic feature extraction with interpretable deep neural network for neurodegenerative related disorder classification. Interspeech 2020. bib link
  • Pan, Y., Mirheidari, B., Reuber, M., Venneri, A., Blackburn, D., & Christensen, H. (2020). Improving detection of Alzheimer’s Disease using automatic speech recognition to identify high-quality segments for more robust feature extraction. Interspeech 2020. bib link
  • Cummins, N., Pan, Y., Ren, Z., Fritsch, J., Nallanthighal, V. S., Christensen, H., ... & Härmä, A. (2020, October). A comparison of acoustic and linguistics methodologies for Alzheimer’s dementia recognition. In Interspeech 2020 (pp. 2182-2186). bib link
  • Pan, Y., Mirheidari, B., Reuber, M., Venneri, A., Blackburn, D., & Christensen, H. (2019). Automatic Hierarchical Attention Neural Network for Detecting Alzheimer's Disease. In Interspeech (pp. 4105-4109). bib link
  • Chen, C., Han, J., & Pan, Y. (2017). Speaker Verification via Estimating Total Variability Space Using Probabilistic Partial Least Squares. In INTERSPEECH (pp. 1537-1541). bib link
  • Pan, Y., Zheng, T., & Chen, C. (2017). I-vector Kullback-Leibler divisive normalization for PLDA speaker verification. In 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP) (pp. 56-60). bib link

Other papers

  • Mirheidari, B., Pan, Y., Blackburn, D., O'Malley, R., Walker, T., Venneri, A., ... & Christensen, H. (2020). Data augmentation using generative networks to identify dementia. arXiv preprint arXiv:2004.05989. bib link
  • Mirheidari, B., Pan, Y., Walker, T., Reuber, M., Venneri, A., Blackburn, D., & Christensen, H. (2019). Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt. arXiv preprint arXiv:1910.00515. bib link

Contact details:

Yilin Pan
Email: yilin.pan@sheffield.ac.uk
Department of Computer Science
University of Sheffield
Regent Court, 211 Portobello, Room 141
Sheffield, S1 4DP, UK