Ian McLoughlin

Nanyang Technological University, Singapore Institute of Technology

Papers

Total Citations

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About

Ian McLoughlin’s research sits at the intersection of speech processing, human–robot interaction, and artificial intelligence, with a focus on restoring and enhancing communication. His most cited work, “Regeneration of Speech in Voice-Loss Patients” (2009, 15 citations), addresses a deeply human challenge: using signal processing to recreate natural speech for individuals who have lost their voice. This contribution demonstrates his commitment to translating engineering into tangible clinical impact. More recently, McLoughlin has explored how AI-driven speech and dialogue systems can be decomposed into distinct processing stages—from acoustic sampling to phonetic enrichment—offering a clear engineering framework for natural language interaction (2023, 5 citations). He also investigates the non-verbal auditory cues that shape human–service robot interaction (2021, 4 citations), highlighting how robots, unlike humans, must learn to interpret and produce sounds that convey intent, emotion, or urgency. Across these works, McLoughlin bridges technical rigor with real-world application, making his research especially relevant for students and engineers working on assistive technologies, social robotics, and speech-based AI systems.