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 …

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 …

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 …

Asking questions is one of the most crucial pedagogical techniques used by teachers in
class. It not only offers open-ended discussions between teachers and students to exchange …

Instructors are increasingly incorporating student-centered learning techniques in their
classrooms to improve learning outcomes. In addition to lecture, these class sessions …

Classroom activity detection (CAD) aims at accurately recognizing speaker roles (either
teacher or student) in classrooms. A CAD solution helps teachers get instant feedback on …