Citta Anindya
Papers
1
Total Citations
8
H-Index
1
About
Citta Anindya is a researcher at the forefront of human-robot interaction, specializing in Indonesian speech recognition and deep neural network (DNN) architectures. Her seminal work, "Development of Indonesian Speech Recognition with Deep Neural Network for Robotic Command" (2019), has garnered 8 citations and laid the groundwork for seamless human-robot communication in the Indonesian language. By proposing a DNN-based system for robotic command, she addressed a critical gap in speech recognition for underrepresented languages, enabling more intuitive and accessible interaction with assistant robots. Anindya’s contributions extend beyond technical innovation; she bridges the gap between cutting-edge AI and real-world applications, particularly in robotics. Her research not only advances the field of natural language processing but also promotes linguistic inclusivity in technology. As a rising voice in the domain, Anindya’s work continues to inspire further exploration into multilingual speech systems and their integration into assistive robotics, making her a key figure in the evolution of human-centered AI.
Research Focus
Key Achievements
Top Papers
- 1