Tiago Almeida Silva
Papers
1
Total Citations
3
H-Index
1
About
Tiago Almeida Silva is a researcher at the forefront of human-robot interaction, with a primary focus on speech recognition technologies for robotic systems. His work centers on the critical challenge of enabling machines to accurately decode human speech in real-world, often noisy environments. Silva’s major contribution lies in his systematic evaluation of open-source speech recognition engines, particularly his comparative analysis of Pocketsphinx and Vosk. His most cited paper, "Comparing Pocketsphinx and Vosk Recognition in human speech decoding" (2021, 3 citations), presented at the IV Brazilian Humanoid Robot Workshop (BRAHUR) and V Brazilian Workshop on Service Robotics (BRASERO), provides a rigorous benchmark for these tools, offering practical guidance for developers and researchers in robotics. This work is notable for its direct impact on the design of more responsive and accessible service robots, bridging the gap between computational linguistics and autonomous systems. Silva’s research is essential for advancing human-robot collaboration, making him a key voice in the Brazilian robotics community and a valuable resource for students and engineers seeking to implement robust speech interfaces.
Research Focus
Key Achievements
Top Papers
- 1Comparing Pocketsphinx and Vosk Recognition in human speech decoding3 citations · 2021