Computational Neurophonetics: Coupling Neural Circuits and Biomechanical Voice Production

• Applicant: Dr.-Ing. Bogac Tur
• Subject Area: Human Cognitive and Systems Neuroscience ; Otolaryngology, Phoniatrics and Audiology
• Term: since 2025
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 575660403

Human voice production involves a highly complex interplay of brain activity, muscle actions, and vocal fold vibrations. Neurological disorders such as Parkinson’s disease or vocal dystonia often lead to significant impairments in voice and speech. Currently, it is not fully understood how exactly changes in brain function cause these impairments, limiting the development of effective treatments. The goal of my project is to develop a comprehensive computational model that links brain activity directly with the biomechanics of voice production. For the first time, this model will integrate detailed neural circuits—including inhibitory mechanisms mediated by GABAergic neurons—as well as crucial subcortical structures (the basal ganglia and the cerebellum), which are essential for precise speech control. Additionally, the biomechanical behavior of the vocal folds will be realistically simulated, allowing us to study how neural signals directly impact the voice. By comparing simulation results with real-world human data from functional magnetic resonance imaging, iEEG recordings, and high-speed videos of vocal fold vibrations, I will validate whether the model accurately reflects human voice production. This approach will enhance our understanding of why specific neurological changes impair voice function. Ultimately, the insights gained could guide the development of new therapies for voice and speech disorders.

• DFG Programme: WBP Fellowship
• International Connection: USA
• Host: Professorin Dr. Kristina Simonyan