04/11/2024

Enom - Embedded, non-obstructive monitoring of voice and speech impediments, taking specific account of privacy

Enabling improved therapy through novel progress monitoring

Project details

Duration 1 Jan 2018 - 31 Dec 2021
Research theme Health
Project leader Prof. Korbinian Riedhammer
Faculty of Computer Science
Project partners Kassel Stuttering Therapy (KST)
Parlo GmbH
Chair for Pattern Recognition, Friedrich-Alexander-Universität Erlangen-Nürnberg
Funding provided by Bavarian State Ministry for Education and Culture, Science and the Arts

Description

Speech is one of the oldest communication mediums. Speech is also something that is exclusive to human beings and that even after around 200,000 years still forms the basis of the digital world we know today. Stammering is a widely recognised type of speech impediment. Its effect is to limit the fluency of speech and in 90 percent of cases, it commences before the age of six years. In addition to the externally visible symptoms, stammerers also suffer from insecurity, shame, frustration, aggression, or regression.  Self-esteem can also be affected. Although the medical causes are still unclear even today, many behavioural therapy methods have achieved successes. One of the therapeutic approaches available is to modify a patient’s entire speech process. In this way, the person concerned initially learns a new way of speaking stammer-free, after which this is continually adapted in line with natural speech.

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