Samson Akinpelu
Papers
1
Total Citations
6
H-Index
1
About
Samson Akinpelu is a rising researcher at the forefront of Human-Computer Interaction and affective computing, with a specialized focus on speech emotion recognition. His most-cited work, "SwinTSER: An Improved Bilingual Speech Emotion Recognition Using Shift Window Transformer" (2025), has already garnered 6 citations, reflecting its timely impact. In this study, Akinpelu addresses a critical gap in emotion-aware AI by enhancing the Shift Window Transformer architecture to better capture emotional nuances in bilingual speech. His contribution is particularly significant as it improves the accuracy and robustness of emotion detection across languages, a key challenge for developing truly intuitive human-machine interfaces. By advancing deep learning methods for speech analysis, Akinpelu’s work supports the growing demand for emotionally intelligent systems in robotics, virtual assistants, and mental health monitoring. His research not only demonstrates technical innovation in transformer-based models but also underscores the importance of cross-lingual emotion recognition. As a scholar committed to bridging AI and human empathy, Akinpelu is poised to make lasting contributions to the field of affective computing.
Research Focus
Key Achievements
Top Papers
- 1