Etemad, Ali

Self-Supervised Learning for ECG-Based Emotion Recognition

Sarkar, P., & Etemad, A. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionECG Monitoring and Analysis

Cited by 146

FluentNet: End-to-End Detection of Stuttered Speech Disfluencies With Deep Learning

Kourkounakis, T., Hajavi, A., & Etemad, A. (2021) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisStuttering Research and Treatment

Cited by 109

Detecting multiple speech disfluencies using a deep residual network with bidirectional long short-term memory

Kourkounakis, T., Hajavi, A., & Etemad, A. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Stuttering Research and TreatmentSpeech Recognition and Synthesis

Cited by 87

Self-supervised Human Activity Recognition by Learning to Predict Cross-Dimensional Motion

Rahimi Taghanaki, S., Rainbow, M. J., & Etemad, A. (2021) · 2021 International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 22

The future of simulation‐based medical education: Adaptive simulation utilizing a deep multitask neural network

Ruberto, A. J., Rodenburg, D., Ross, K., Sarkar, P., Hungler, P. C., Etemad, A., Howes, D., Clarke, D., McLellan, J., Wilson, D., et al. (2021) · AEM Education and Training

Simulation-Based Education in HealthcareSurgical Simulation and Training

Cited by 22