PhonLab | A clinical phonetics laboratory service (PhonLab): diagnostics of speech impairment via the web

Summary
In line with present trends to expand eHealth in medical care, this project‘s objective is to provide a commercial web-based service for the automatic diagnosis of impaired speech, given a sample of the client’s speech transmitted over the internet. Currently, speech therapists are required to diagnose speech impairments from only a pen and paper analysis of transcriptions based on auditory impressions. The main advantage of the innovative approach of this project is to quantify the production of speech in time according to the scientific state of the art, which is well beyond the scope of presently used impressionistic, auditory techniques.

This will be implemented by enhancing a prototype web-based system with software created during the PI’s ERC Advanced Grant for processing acoustically multilingual adult and child speech data.
The overall long-term vision is to provide a web-based resource for diagnosing speech disorders from anywhere with access to a microphone and internet connection. As a first step, the proof-of-concept (PoC) will initiate a start-up process to bring this resource, known as PhonLab, to the point of commercialisation in Germany. The work plan of the PoC consists in (1) the development of a business plan based on PhonLab’s likely usage and associated revenue (2) technically enhance PhonLab’s automatisation and user-friendliness (3) developing a promotion strategy towards potential users and clients.

The proximate economic benefits lie in the low costs and the rapidity of diagnosis even to remote places. In the long run, PhonLab has therefore also the potential to provide speech therapists in disadvantaged areas of the world with easy access to state-of-the-art techniques for diagnosing speech impairments
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/737552
Start date: 01-06-2017
End date: 30-11-2018
Total budget - Public funding: 146 130,00 Euro - 146 130,00 Euro
Cordis data

Original description

In line with present trends to expand eHealth in medical care, this project‘s objective is to provide a commercial web-based service for the automatic diagnosis of impaired speech, given a sample of the client’s speech transmitted over the internet. Currently, speech therapists are required to diagnose speech impairments from only a pen and paper analysis of transcriptions based on auditory impressions. The main advantage of the innovative approach of this project is to quantify the production of speech in time according to the scientific state of the art, which is well beyond the scope of presently used impressionistic, auditory techniques.

This will be implemented by enhancing a prototype web-based system with software created during the PI’s ERC Advanced Grant for processing acoustically multilingual adult and child speech data.
The overall long-term vision is to provide a web-based resource for diagnosing speech disorders from anywhere with access to a microphone and internet connection. As a first step, the proof-of-concept (PoC) will initiate a start-up process to bring this resource, known as PhonLab, to the point of commercialisation in Germany. The work plan of the PoC consists in (1) the development of a business plan based on PhonLab’s likely usage and associated revenue (2) technically enhance PhonLab’s automatisation and user-friendliness (3) developing a promotion strategy towards potential users and clients.

The proximate economic benefits lie in the low costs and the rapidity of diagnosis even to remote places. In the long run, PhonLab has therefore also the potential to provide speech therapists in disadvantaged areas of the world with easy access to state-of-the-art techniques for diagnosing speech impairments

Status

CLOSED

Call topic

ERC-PoC-2016

Update Date

27-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.1. EXCELLENT SCIENCE - European Research Council (ERC)
ERC-2016
ERC-2016-PoC
ERC-PoC-2016 ERC-Proof of Concept-2016