Hiroaki Takatsu
Papers
1
Total Citations
5
H-Index
1
About
Hiroaki Takatsu is a researcher at the forefront of affective computing and human-computer interaction, with a specialized focus on emotional speech synthesis for conversational systems. His most-cited work, "Sentiment Analysis for Emotional Speech Synthesis in a News Dialogue System" (2020, 5 citations), addresses a critical challenge in the age of smart speakers and social robots: how to make synthetic speech sound naturally expressive. Takatsu’s key contribution lies in developing a method to automatically control emotional parameters in speech synthesis based on dialogue content. He constructed a novel news dataset annotated with emotion labels—such as "positive" and "negative"—enabling systems to adjust vocal tone in real time, moving beyond flat, robotic delivery. This work bridges sentiment analysis and text-to-speech technology, laying groundwork for more engaging and believable voice interfaces. While his citation count is modest, the practical implications of his research are significant for industries ranging from assistive technology to entertainment. Takatsu’s approach offers a scalable path toward emotionally intelligent machines, making him a notable contributor to the evolving field of expressive human-machine communication.
Research Focus
Key Achievements
Top Papers
- 1