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StiNT app app for iPhone and iPad


4.4 ( 3824 ratings )
Health & Fitness Education
Developer: Ioannis Kouris
Free
Current version: 1.0.5, last update: 1 year ago
First release : 22 Sep 2020
App size: 49.15 Mb

StiNT app is a free app (no account required) for people with auditory processing disorders and people fitted with hearing aids, who want to maximize the benefit of using hearing aids beyond simply amplifying sounds. It is used to train the brain to work together with the ears. The app has been co-developed with Professors Doris-Eva Bamiou and Stuart Rosen of University College London, UK.

You are listening to 4 selected stories which are narrated in a noisy environment and you need to select words that you heard from the presented list. You can select amount of noise and number talkers that will narrate the stories, which randomly change over time. The recommended training duration is 30 minutes per day.

This application is not a medical tool and cannot be used as such. Please verify with your clinician that this kind of training is right for you.

The application is free to be used by anyone who wants to train the brain to work better with the ears. At the moment it is available only in English, but there are thoughts to include more languages in the future.

Studies have shown that hearing loss is connected to increased social isolation and depression, as well as cognitive decline. Listening can be exhausting, and when your brain is working overtime to hear and understand what’s being said, that makes it difficult to pay attention to other things in your environment.

Auditory Training can train the brain to improve
a) the auditory working memory, the ability to keep words in short-term memory so the meaning of the word and its linguistic context can be processed

b) the auditory processing speed, our ability to recognize speech quickly, which is important during everyday conversation, where one word follows another in rapid succession

c) the auditory attention: our ability to extract meaningful speech from a background of competing background noise, as might be required to do when trying to listen in a noisy restaurant