Similar to humans' cognitive ability to generalize knowledge and skills, self-supervised
learning (SSL) targets discovering general representations from large-scale data. This …

In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …

Traditionally, speech emotion recognition (SER) research has relied on manually
handcrafted acoustic features using feature engineering. However, the design of …

Despite the recent advancement in speech emotion recognition (SER) within a single corpus
setting, the performance of these SER systems degrades significantly for cross-corpus and …

Stuttering is a speech disorder during which the flow of speech is interrupted by involuntary
pauses and repetition of sounds. Stuttering identification is an interesting interdisciplinary …

Training Transformer-based models demands a large amount of data, while obtaining
aligned and labelled data in multimodality is rather cost-demanding, especially for audio …

Following the successful application of vision transformers in multiple computer vision tasks,
these models have drawn the attention of the signal processing community. This is because …

Faithful real-time facial animation is essential for avatar-mediated telepresence in Virtual
Reality (VR). To emulate authentic communication, avatar animation needs to be efficient …

Self-supervised speech representation learning has recently been a prosperous research
topic. Many algorithms have been proposed for learning useful representations from large …

Combining multiple machine learning models into an ensemble is known to provide superior
performance levels compared to the individual components forming the ensemble. This is …