Desy Iba Ricoida

About

Desy Iba Ricoida is a researcher advancing the intersection of artificial intelligence and human-robot interaction, with a primary focus on Indonesian speech recognition. Her most-cited work, "Development of Indonesian Speech Recognition with Deep Neural Network for Robotic Command" (2019, 8 citations), introduces a deep neural network (DNN) architecture that enables seamless voice control of assistant robots in the Indonesian language. This contribution addresses a critical gap in multilingual speech processing, demonstrating that DNN-based systems can significantly improve recognition accuracy for under-resourced languages like Indonesian, thereby enhancing intuitive human-robot collaboration. Ricoida’s research has implications for accessible robotics, particularly in Southeast Asian contexts where language-specific interfaces are essential. Her work underscores the potential of deep learning to bridge linguistic barriers in automation, and her citation record reflects growing interest in localized AI solutions. By pioneering Indonesian speech recognition for robotic commands, she contributes to the broader goal of making technology more inclusive and responsive to diverse user populations.

Research Focus

Key Achievements

Top Papers

1. 1
   Development of Indonesian Speech Recognition with Deep Neural Network for Robotic Command

   8 citations · 2019

Key Collaborators

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