About

I am a Ph.D. candidate in the University at Buffalo, working in the Embedded Sensing and Computing (ESC) Lab led by Prof. Wenyao Xu. My current research focuses on Representation Learning and Computational Modeling for Verbal Behavior. Specifically, I am interested in developing representation learning and modeling methods across the following three levels of human language: Acoustic, Linguistic, and Pragmatic, to model the relationship between verbal behavior and cognitive abilities, and to translate these insights into practical applications for both clinical and educational purposes.

Education

Research & Publications

My research develops representation learning and computational modeling methods for verbal behavior, with a focus on child speech and language and on translating these methods into clinical and educational tools.

Publications

  1. Hou, S., Bo, W., Cao, L., Shijo, V., Liu, C., Zhang, X., Das, A., Guo, L.-Y., and Xu, W. Speech Annotation and Transcription Enhancer (SATE): An Automated System for Child Language Sample Analysis. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol. 10, no. 3, Article 107, 37 pages, September 2026.
  2. Hou, S., Bo, W., Shijo, V., Liu, C., Kanaganapalli, M. M., Guo, L.-Y., and Xu, W. Correct Then Detect: Zero-Shot FVMC Annotation for Child Language Sample Analysis. Interspeech, 2026.
  3. Lin, Z., Hou, S., Bo, W., Guo, L.-Y., and Xu, W. Privacy-Enhancing Federated Child Speech Recognition using Machine Learning. IEEE International Conference on E-health Networking, Application & Services (Healthcom), 2026.
  4. Zhang, X., Liu, C., Li, Z., Liang, L., Bo, W., Hou, S., Zhou, C., Sun, H., and Xu, W. Warden: Vision-based Process Control for Sustainable Building Material Production. Under review AAAI Conference on Artificial Intelligence (AAAI), 2027.
  5. Shijo, V., Das, A., Bo, W., Hou, S., Guo, L.-Y., Xia, J., and Xu, W. PULSE: A Principled Framework for Multimodal Speech Sound Disorder Assessment Using Ultrasound Tongue Imaging. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).
  6. Wang, X., Delgado, H., Tak, H., Jung, J.-w., Shim, H.-j., Todisco, M., Kukanov, I., Liu, X., Sahidullah, M., Kinnunen, T., Evans, N., Lee, K. A., Yamagishi, J., …, Sun, C., Hou, S., Lyu, S., et al. (29 authors) ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech. Computer Speech & Language, vol. 95, 101825, 2026.
  7. Ju, Y., Sun, C., Jia, S., Hou, S., Si, Z., Datta, S. K., Ke, L., Zhou, R., Nikolich, A., and Lyu, S. DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection. IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2024.
  8. Sun, C., Jia, S., Hou, S., and Lyu, S. AI-Synthesized Voice Detection Using Neural Vocoder Artifacts. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023.

Awards & Competitions

Honors & Awards

Competitions

Activities

Booths & Posters

Service

Teaching & Mentoring

Teaching

Mentoring

I have supervised undergraduate and graduate students on projects in speech recognition, language sample analysis, and clinical tool development.