Jaime Lorenzo-Trueba
Papers
1
Total Citations
34
H-Index
1
About
Jaime Lorenzo-Trueba is a leading researcher in expressive speech synthesis, with a focus on emotion and prosody modeling. His work bridges the gap between neutral and emotionally charged speech, enabling more natural human-computer interaction. His most-cited paper, "Emotion transplantation through adaptation in HMM-based speech synthesis" (2015, 34 citations), introduced a pioneering method for transferring emotional characteristics from one speaker to another using adaptation techniques in Hidden Markov Model (HMM)-based systems. This contribution laid groundwork for later deep learning approaches to expressive voice cloning. Lorenzo-Trueba’s research has been instrumental in advancing personalized and emotionally aware text-to-speech systems, with applications in assistive technology, virtual assistants, and entertainment. His work is widely recognized for its clarity and practical impact, and he continues to shape the field through innovative methods for controlling and transferring paralinguistic information in synthetic voices.
Research Focus
Key Achievements
Top Papers
- 1Emotion transplantation through adaptation in HMM-based speech synthesis34 citations · 2015