In the domain of audio processing, Transfer Learning has facilitated the rise of Self-
Supervised Learning and Zero-Shot Learning techniques. These approaches have led to …

Speech emotion recognition (SER) is a field that has drawn a lot of attention due to its
applications in diverse fields. A current trend in methods used for SER is to leverage …

We propose StyleCap, a method to generate natural language descriptions of speaking
styles appearing in speech. Although most of conventional techniques for para-/non …

The remarkable emergence of large language models (LLM) and their vast capabilities have
opened a possibility for applications in various fields, including speech emotion recognition …

This report provide a detailed description of the method that we explored and proposed in
the WECIA Emotion Prediction Competition (EPC), which predicts a person's emotion …

Multimodal sentiment analysis is an important area for understanding the user's internal
states. Deep learning methods were effective, but the problem of poor interpretability has …

With the widespread application and growing popularity of speech technology, the field of
speech emotion recognition has garnered significant attention in scientific research. This …

Audio-Language Models (ALM) aim to be general-purpose audio models by providing zero-
shot capabilities at test time. The zero-shot performance of ALM improves by using suitable …