S. Asadiabadi, E. Erzin “Automatic Vocal Tract Landmark Tracking in rtMRI using Fully Convolutional Networks and Kalman Filter,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 2020.
N. Hussain, E. Erzin, T. M. Sezgin, and Y. Yemez, “Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction,” INTERSPEECH: Annual Conference of the International Speech Communication Association, Graz, Austria, 2019.
N. Hussain, E. Erzin, T. M. Sezgin, and Y. Yemez, “Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents,” 8th International Conference on Affective Computing and Intelligent Interaction (ACII), 2019.
Use of Transfer Learning for Automatic Dietary Monitoring through Throat Microphone Recordings, March 21, 2019
S. Asadiabadi, E. Erzin, “A Deep Learning Approach for Data Driven Vocal Tract Area Function Estimation,” in the IEEE Workshop on Spoken Language Technology (SLT), Athens, Greece, December 18-21, 2018.
S. Asadiabadi, R. Sadiq, E. Erzin, “Multimodal Speech Driven Facial Shape Animation Using Deep Neural Networks,” in Proceedings – 10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA, Honolulu, Hawaii, 2018.
M. A. T. Turan and E. Erzin, “Monitoring Infant’s Emotional Cry in Domestic Environments using the Capsule Network Architecture,” in INTERSPEECH: Annual Conference of the International Speech Communication Association, Hyderabad, India, 2018.
B. B. Turker, E. Erzin, Y. Yemez and M. Sezgin, “Audio-Visual Prediction of Head-Nod and Turn-Taking Events in Dyadic Interactions,” in INTERSPEECH: Annual Conference of the International Speech Communication Association, Hyderabad, India, 2018.
M. A. T. Turan and E. Erzin, “Detection of Food Intake Events from Throat Microphone Recordings using Convolutional Neural Networks,” in the ICME workshop on Multimedia Services and Technologies for Smart-Health, San Diego, July 23-27, 2018.
On the Importance of Hidden Bias and Hidden Entropy in Representational Efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines, March 8, 2018.
M. A. T. Turan and E. Erzin, “Empirical Mode Decomposition of Throat Microphone Recordings for Intake Classification,” in the Second International Workshop on Multimedia for Personal Health and Health Care, Mountain View, CA, USA, October 23, 2017.