Dessi Puji Lestari

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About

Dessi Puji Lestari is a leading researcher in speech and language technology, with a particular focus on speaker recognition and human-robot interaction (HRI). Her work bridges the gap between advanced deep learning models and practical robotic applications, as exemplified by her highly cited 2024 study on "Speaker Recognition Using MobileNetV3 for Voice-Based Robot Navigation." This research, which has already garnered 4 citations, demonstrates how lightweight neural architectures can enable delivery robots to reliably identify speakers under real-world constraints, enhancing both control and natural interaction. Lestari’s contributions are pivotal in making voice-based robotic systems more intuitive and secure, addressing critical challenges in perception and user authentication. Her work stands out for its applied impact, directly influencing the design of autonomous service robots. By integrating state-of-the-art speaker recognition into navigation tasks, she has opened new pathways for safer, more responsive human-robot collaboration. Lestari continues to shape the future of intelligent systems, where seamless voice interaction is key to widespread robotic adoption.