Aron Brito

Papers

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About

Aron Brito is a researcher at the forefront of speech recognition and human-robot interaction, with a particular focus on deploying robust, real-time speech decoding systems for service and humanoid robotics. His most-cited work, "Comparing Pocketsphinx and Vosk Recognition in human speech decoding" (2021), presented at the IV Brazilian Humanoid Robot Workshop (BRAHUR) and V Brazilian Workshop on Service Robotics (BRASERO), provides a critical empirical benchmark for two widely used offline speech recognition engines. By systematically evaluating their accuracy and latency in practical robotic contexts, Brito’s study offers essential guidance for engineers selecting lightweight, on-device speech solutions—a contribution that has garnered 3 citations and continues to inform system design in resource-constrained environments. His research bridges the gap between theoretical speech processing and applied robotics, emphasizing the need for reliable, low-latency decoding that enables natural human-robot communication. Brito’s work is particularly notable for its practical impact on the Brazilian robotics community, helping to advance the deployment of voice-controlled service robots. As a researcher, he remains dedicated to improving the accessibility and performance of speech interfaces, making him a key figure in the evolution of autonomous robotic assistants.