Fine Dwinita Aprilyanti

Nara Institute of Science and Technology

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About

Fine Dwinita Aprilyanti has made significant contributions to the field of acoustic signal processing, with a particular focus on enhancing speech intelligibility in challenging environments. Her key research areas include blind signal extraction, noise suppression, and reverberation reduction for robotic and human-machine interaction systems. In her most cited work, "Suppression of noise and late reverberation based on blind signal extraction and Wiener filtering" (2015), she introduced an innovative microphone-array processing method optimized for spoken-dialogue robots operating in noisy and reverberant spaces. This method leverages frequency-domain blind signal extraction—a separation algorithm that capitalizes on the sparseness of speech signals—to isolate target speech from background noise and late reverberation. With 5 citations, this work has provided a foundational approach for improving robot audition, enabling more robust communication in real-world settings. Aprilyanti's research bridges the gap between theoretical signal processing and practical deployment, offering solutions that enhance the reliability of voice-controlled systems. Her contributions are particularly valuable for advancing human-robot interaction, where clear speech capture is essential for natural and effective dialogue.