Ian McLoughlin

Professor

Singapore Institute of Technology

Singapore

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Professor Ian McLoughlin is a faculty member at the Singapore Institute of Technology (新工大) in Singapore. His research focuses on areas including speech recognition, emotional preservation in speaker anonymization, and methods for assessing glottal dysfunction. Additionally, he investigates the applications of transauricular stimulation in motion sickness and explores deep learning techniques for various health-related classifications.

Articles (17)

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2025

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2025

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2025

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (2)

LAM PHAM

AIT Austrian Institute of Technology GmbH

AUSTRIA

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Surej Mouli

Aston University

UNITED KINGDOM

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Ian McLoughlin

Research Interests

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About

Articles (17)

Adapting general disentanglement-based speaker anonymization for enhanced emotion preservation

Symmetric projection attractor reconstruction: Transcutaneous auricular vagus nerve stimulation for visually induced motion sickness

On the Nature and Potential of Deep Noise Suppression Embeddings

On the potential of transauricular electrical stimulation to reduce visually induced motion sickness

Automated Assessment of Glottal Dysfunction Through Unified Acoustic Voice Analysis

Cross-Lingual Self-training to Learn Multilingual Representation for Low-Resource Speech Recognition

Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG

Incandescent Bulb and LED Brake Lights:Novel Analysis of Reaction Times

Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework

CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection

Variance Normalised Features for Language and Dialect Discrimination

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

Multi-Granularity Sequence Alignment Mapping for Encoder-Decoder Based End-to-End ASR

D-MONA: A dilated mixed-order non-local attention network for speaker and language recognition

In-Ear Electrode EEG for Practical SSVEP BCI

Time–Frequency Feature Fusion for Noise Robust Audio Event Classification

Effective Exploitation of Posterior Information for Attention-Based Speech Recognition

Collaborators (2)

LAM PHAM

Surej Mouli

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