Javier Ferreiros
Papers
1
Total Citations
34
H-Index
1
About
Javier Ferreiros is a leading researcher in speech technology and human-computer interaction, with a particular focus on expressive speech synthesis and emotion-aware systems. His most cited work, "Emotion transplantation through adaptation in HMM-based speech synthesis" (2015, 34 citations), introduced a novel approach to transferring emotional prosody between speakers using hidden Markov models, enabling more natural and emotionally nuanced synthetic voices. This contribution has been foundational for advancing affective computing, allowing machines to better understand and replicate human emotional expression in speech. Ferreiros’s broader research spans speech recognition, dialogue systems, and multimodal interaction, where he has developed techniques to improve the robustness and naturalness of spoken language interfaces. His work has been widely recognized for bridging the gap between technical speech processing and psychological models of emotion, influencing both academic research and practical applications in virtual assistants and assistive technologies. With a career dedicated to making human-machine communication more intuitive and empathetic, Ferreiros continues to shape the future of how we interact with technology through voice.
Research Focus
Key Achievements
Top Papers
- 1Emotion transplantation through adaptation in HMM-based speech synthesis34 citations · 2015