Inverse Filtering of Pathologic Voice
- Bachelor Project
- Announcement date
- 15 Jul 2013
- Paul Berghold
- Philipp Aichinger
- Martin Hagmüller
- Research Areas
The clinical examination of voice disorders demands for measuring oscillation patterns of the vocal folds. Laryngeal High-Speed Videos (LHSVs) provide the most accurate approach for observing these patterns, but suffer from being invasive: An endoscope is inserted into the mouth of a patient, way back to the pharynx, which makes the examination displeasing. As a consequence, an acoustic method that provides data similar to LHSVs would be desirable. Inverse filtering  seems to be a promising approach here. However, the estimation of valid voice source parameters from an acoustic signal is often crucial because models of pathologic voice production are poorly validated on empiric data. State-of-the-art model driven approaches struggle with that fact. Aim of the thesis is to investigate inverse filtering methods and validate estimated voice source parameters with LHSVs.
- Review of literature
- Evaluating existing inverse filtering procedures
- Train methods to fit LHSV data
- Interest in speech production
- Speech Communication 1/(2)
 P. Alku, “Glottal inverse filtering analysis of human voice production — A review of estimation and parameterization methods of the glottal excitation and their applications,” vol. 36, no. October, pp. 623–650, 2011.
Philipp Aichinger (email@example.com or 01 40400 1167)