Rapid progress in the development of technological and computational tools has motivated
substantial changes in the educational approach to the different disciplines of signal, image …

Artificial Neural Networks (ANNs) were created inspired by the neural networks in the
human brain and have been widely applied in speech processing. The application areas of …

School closings due to COVID-19 brought the online learning environment to the forefront of
education. This new" classroom" created many challenges for both teachers and parents …

This descriptive study focuses on using voice activity detection (VAD) algorithms to extract
student speech data in order to better understand the collaboration of small group work and …

Existing audio-language task-specific predictive approaches focus on building complicated
late-fusion mechanisms. However, these models are facing challenges of overfitting with …

Acoustic features and machine learning models have been recently proposed as promising
tools to analyze lessons. Furthermore, acoustic patterns, both in the time and spectral …

With the rapid emergence of K-12 online learning platforms, a new era of education has
been opened up. It is crucial to have a dropout warning framework to preemptively identify K …

The rapid advancement in healthcare data collection technologies and the importance of
using multimodal data for accurate diagnosis leads to a surge in multimodal data …

Detecting the direction of the gaze and orientation of the body of both teacher and students
is essential to estimate who is paying attention to whom. It also provides vital clues for …

Classroom observation methods are fundamental tools for improving the quality of education
and students' academic achievement. However, they traditionally require participation of …