Desi Windi Sari
Papers
1
Total Citations
6
H-Index
1
About
Desi Windi Sari is a researcher whose work lies at the intersection of signal processing, artificial intelligence, and robotics. Her key research areas include speech recognition, human-robot interaction, and the application of neural networks to real-world engineering challenges. Her most cited paper, "Pengenalan kata dengan metode linear predictive coding dan jaringan syaraf tiruan pada mobile robot" (2014), has garnered 6 citations and represents a significant contribution to the field. In this work, she explored how linear predictive coding and artificial neural networks can enable mobile robots to recognize spoken words, advancing the goal of seamless human-robot communication. This research is part of a broader effort to make machines more responsive and intuitive, bridging the gap between human language and robotic action. Desi Windi Sari’s work is particularly notable for its practical orientation, demonstrating how theoretical advances in signal processing and machine learning can be applied to tangible robotic systems. Her contributions continue to inspire students and researchers interested in the future of intelligent, voice-controlled robotics.
Research Focus
Key Achievements
Top Papers
- 1