Mahmud Irfandy
Papers
1
Total Citations
4
H-Index
1
About
Mahmud Irfandy is a researcher whose work bridges artificial intelligence, speech recognition, and robotics. His key research areas include neural network-based speech processing and mobile robot control, with a focus on applying backpropagation neural networks to enable voice-driven robotic navigation. His most cited paper, “Aplikasi Pengenalan Ucapan Dengan Jaringan Syaraf Tiruan Propagasi Balik Untuk Pengendalian Robot Bergerak” (2010), explores how speech recognition can be implemented using feature extraction methods such as Linear Predictive Coding (LPC) and Fourier transforms to control mobile robots. This work, with 4 citations, demonstrates his early contributions to integrating AI with human-robot interaction. Irfandy’s research is notable for its practical application of neural networks in real-world robotic systems, offering a foundation for voice-controlled automation. His achievements include advancing the understanding of how speech signals can be processed and interpreted for autonomous movement, making his work relevant to students and researchers in AI, robotics, and signal processing.
Research Focus
Key Achievements
Top Papers
- 1