General Research Interests

speech recognition on pathologic voices
automatic evaluation procedures for speech disorders and pathologic voices
speech recognition in reverberated environment

Ronquera - Objective Automatic Assessment of the Level of Dysphonia

The severity of dysphonia is traditionally assessed by perceptual means. Objective (optical, electrical, acoustical) measures have been developed to compensate the subjectivity of perceptual assessment. However, these measures have failed to be sensitive (reflect changes of the perceptual trait), specific (reflect changes only of the intended perceptual trait), and consistent (with similar results across different studies) enough to be adopted in clinical practice. The project "Ronquera" (span. "hoarseness"), supported by the Humboldt Foundation, addresses these problems (see also the homepage of Carlos Ferrer-Riesgo).

Former Project (2015)

ASSIST

The Kassel stutter therapy is applying a fluency shaping technique to help stutterers speak fluently. To offer improved training possibilities for the clients, we are developing algorithms to automatically analyse whether speech exercises are being performed correctly in the ASSIST project (Automatic Speech analysis for an assistance system for Systematically Increasing the contextual and interactional requirements in Stuttering Therapy).

Funding by:
Hessen Agentur / Hessen ModellProjekte

Cooperation with:
Parlo Institute

More Former Projects

Differentiated Objective Analysis of the Speech Quality of Chronically Hoarse Patients for Evidence-based Diagnostics
(Else Kröner-Fresenius-Stiftung)

PVcheck: Analysis and Evaluation of Voices after Partial Laryngectomy
(German Cancer Aid)

SVcheck: Analysis and Evaluation of Tracheoesophageal Substitute Voices
(German Cancer Aid)

Contact

Address

PD Dr.-Ing. Tino Haderlein

Researcher in the Professors/Faculty group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

General Research Interests

Ronquera - Objective Automatic Assessment of the Level of Dysphonia

Former Project (2015)

More Former Projects



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Department of Computer Science 5 Our Team Haderlein, Tino Projects Lectures Publications Theses Curriculum Vitae Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Impressum Datenschutzerklärung Contact +49 9131 85 67337 +49 9131 85 28781 02.158 (NukMed) Address Universität Erlangen-Nürnberg Chair of Computer Science 5 (Pattern Recognition) Martensstr. 3 91058 Erlangen Germany Driving directions Powered by	Dept. of Computer Sc. » Pattern Recognition » Our Team » Haderlein, Tino » Projects PD Dr.-Ing. Tino Haderlein Researcher in the Professors/Faculty group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg Automatic Evaluation of Voice and Speech Pathologies General Research Interests speech recognition on pathologic voices automatic evaluation procedures for speech disorders and pathologic voices speech recognition in reverberated environment Ronquera - Objective Automatic Assessment of the Level of Dysphonia The severity of dysphonia is traditionally assessed by perceptual means. Objective (optical, electrical, acoustical) measures have been developed to compensate the subjectivity of perceptual assessment. However, these measures have failed to be sensitive (reflect changes of the perceptual trait), specific (reflect changes only of the intended perceptual trait), and consistent (with similar results across different studies) enough to be adopted in clinical practice. The project "Ronquera" (span. "hoarseness"), supported by the Humboldt Foundation, addresses these problems (see also the homepage of Carlos Ferrer-Riesgo). Former Project (2015) ASSIST The Kassel stutter therapy is applying a fluency shaping technique to help stutterers speak fluently. To offer improved training possibilities for the clients, we are developing algorithms to automatically analyse whether speech exercises are being performed correctly in the ASSIST project (Automatic Speech analysis for an assistance system for Systematically Increasing the contextual and interactional requirements in Stuttering Therapy). Funding by: Hessen Agentur / Hessen ModellProjekte Cooperation with: Parlo Institute More Former Projects Differentiated Objective Analysis of the Speech Quality of Chronically Hoarse Patients for Evidence-based Diagnostics (Else Kröner-Fresenius-Stiftung) PVcheck: Analysis and Evaluation of Voices after Partial Laryngectomy (German Cancer Aid) SVcheck: Analysis and Evaluation of Tracheoesophageal Substitute Voices (German Cancer Aid)