Miao-Hia Chen

Papers

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About

Miao-Hia Chen is a leading researcher in speech processing and human-robot interaction, with a focus on developing robust automatic speech recognition (ASR) systems for real-world, noisy environments. Chen’s most cited work, “Threshold-Based Noise Detection and Reduction for Automatic Speech Recognition System in Human-Robot Interactions” (2018, 30 citations), introduces a novel two-stage framework that integrates threshold-based noise detection with combined noise reduction techniques. This system significantly enhances the ability of interactive robots to accurately recognize speech content amidst ambient noise, addressing a critical barrier to seamless human-robot communication. By bridging signal processing and robotics, Chen’s contributions enable more reliable and intuitive voice-controlled interfaces, with applications ranging from assistive technologies to industrial automation. The work is notable for its practical, deployable approach, demonstrating measurable improvements in recognition accuracy under challenging acoustic conditions. Chen’s research continues to influence the design of noise-robust ASR pipelines, making human-robot collaboration more accessible and effective in everyday settings.