Shao-Yen Tseng 

Shao-Yen Tseng
Ph.D. Student
Signal Processing for Communication Understanding and Behavior Analysis Laboratory (SCUBA),
Ming Hsieh Department of Electrical Engineering,
Viterbi School of Engineering,
University of Southern California,
Los Angeles, CA, United States


Curriculum Vitae
Google Scholar

About me

I am a PhD student in the Electrical Engineering Department at the University of Southern California where I perform research in the Signal Processing for Communication Understanding and Behavior Analysis Laboratory (SCUBA) under the advisement of Professor Panayiotis G. Georgiou.

This summer (2018) I worked as a Deep Learning Intern at Samsung Semiconductor in source separation.

I received the B.S. and M.Sc. degrees in electrical engineering from National Sun Yat-sen University (NSYSU), and National Chiao Tung University (NCTU), Taiwan, in 2008 and 2011, respectively.

After that I worked as an Advanced Engineer at Faraday Technology Corporation before joining the PhD program at USC.

My research interests include

  • Machine Learning

  • Behavioral Signal Processing

  • Natural Language Processing

  • Automatic Speech Recognition

Find out more.

Recent Publications

Shao-Yen Tseng, Haoqi Li, Brian Baucom, and Panayiotis Georgiou, '"Honey, I Learned to Talk": Multimodal Fusion for Behavior Analysis' In Proceedings of the 20th ACM International Conference on Multimodal Interaction, 2018

Shao-Yen Tseng, Juncheng Li, Yun Wang, Joseph Szurley, Florian Metze, Samarjit Das, "Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection", In Proceedings of Interspeech, Hyderabad, India, September 2018

Shao-Yen Tseng, Brian Baucom, and Panayiotis Georgiou, "Approaching Human Performance in Behavior Estimation in Couples Therapy Using Deep Sentence Embeddings", In Proceedings of Interspeech, Stockholm, Sweden, August 2017

Shao-Yen Tseng, Sandeep Nallan Chakravarthula, Brian Baucom, and Panayiotis Georgiou, "Couples Behavior Modeling and Annotation Using Low-Resource LSTM Language Models", In Proceedings of Interspeech, San Francisco, CA, September 2016

Full list of publications.