Oberseminar Stochastik und Data Science : Prof. Dr. Michael Döllinger, Professur für Computational Medicine

Titel:

Analyzing the human voice production

Abstract:

Everybody is using their voice every day and all day.
We are taking our voice for granted as long as it works. However, many
people suffer from voice problems, often expressed by hoarseness, due to
different reasons, e.g. due to a cold, functional
disorders or benign and malign tissue alterations in the larynx where
the voice signal is produced.

Our research focuses on the one hand on the
fundamental understanding of the laryngeal biomechanics and
fluid-structure-acoustic interactions (FSAI) during voice production.
Therefore, we are developing and analysing experimental synthetic
& ex-vivo models using multi-modal recording techniques as
high-speed imaging, high-speed particle-image-velocimetry, microphones
and pressure sensors. Parallelly, we develop numerical CFD and FSAI
models simulating the phonatory process. On the other hand,
we focus on new methods to improve clinical diagnostics, therapy
control and prediction of potential disorders. Here, we develop new
diagnostic hardware, image processing and data analysis approaches to
allow for quantitative evaluation of voice quality.

https://www.math.fau.de/stochastik/oberseminar-stochastik/