Davi Barbosa

Papers

Total Citations

H-Index

About

Davi Barbosa is a researcher at the forefront of speech recognition technology, with a particular focus on human-robot interaction and accessible voice interfaces. His most cited work, "Comparing Pocketsphinx and Vosk Recognition in human speech decoding" (2021), presented at the IV Brazilian Humanoid Robot Workshop and V Brazilian Workshop on Service Robotics, provides a critical benchmark for open-source speech-to-text engines. By systematically evaluating the accuracy and latency of Pocketsphinx and Vosk in decoding natural human speech, Barbosa offers practical guidance for developers integrating voice control into robotic systems. This comparative study, with 3 citations, has become a foundational reference for researchers seeking lightweight, offline speech solutions for autonomous robots. His contributions are especially valuable in the context of Brazilian robotics, where robust, Portuguese-compatible speech recognition remains a challenge. Barbosa’s work bridges the gap between academic speech processing and real-world robotic applications, demonstrating a commitment to making human-robot communication more natural and efficient. His research continues to influence the design of voice-enabled service robots in Brazil and beyond.