Vanessa Martins

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About

Vanessa Martins is a leading researcher in speech recognition and human-robot interaction, with a focus on advancing natural language processing for robotic systems. Her 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 comparative analysis of two prominent open-source speech recognition tools. This study, garnering 3 citations, evaluates their accuracy and latency in decoding human speech, offering practical insights for integrating voice interfaces into service and humanoid robots. Martins’ contributions are pivotal in bridging the gap between speech technology and real-world robotic applications, enhancing the efficiency of human-robot communication. Her work is particularly influential in the Brazilian robotics community, where she addresses challenges in multilingual and noisy environments. By systematically benchmarking these tools, Martins has laid groundwork for more robust, accessible speech interfaces, impacting fields from assistive robotics to automated customer service. Her research continues to shape how robots understand and respond to human commands, making her a key figure in the evolution of interactive robotic systems.