Mridhula Murali

Mridhula Murali is a Research Fellow in the Department of Speech and Language Therapy at the University of Strathclyde, United Kingdom, actively contributing to projects like Variation in Child Speech (VariCS) and BletherNet focused on neural networks for disordered speech analysis.

Her educational background includes:

• BA Honours in Psychology
• Masters in Linguistics from Utrecht University, Netherlands
• Doctorate from Queen Margaret University, Edinburgh, investigating acoustic speech markers in Parkinson's disease

Her research centers on phonetic analysis of speech production in communication disorders, with specialized expertise in speech variability and technology-driven diagnostics. Current work bridges clinical practice and computational methods to address challenges in child speech development and motor speech disorders like dysarthria, emphasizing scalable solutions for speech assessment and intervention.

Recent 2025 publications reveal a strong trend toward pediatric speech technology applications, combining acoustic analysis with machine learning to establish normative voice quality data and automate child speech transcription. These studies target developmental milestones in children aged 5–12 years, addressing critical gaps in clinical speech pathology tools.

Mridhula participates in significant research initiatives including the VariCS project and BletherNet (funded 2023–2024), alongside prior work on ultrasound swallowing assessment tools. Her grant involvement spans internal university funding and collaborative health technology development.

She operates within interdisciplinary teams comprising speech-language pathologists, engineers, and computer scientists, notably collaborating with Dr. Anja Kuschmann and Dr. Jim Cleland on child speech datasets and neural network applications for tongue shape analysis in disordered speech.