gms | German Medical Science

23. Jahrestagung der Deutschen Gesellschaft für Audiologie

Deutsche Gesellschaft für Audiologie e. V.

03.09. - 04.09.2020, Cologne (online conference)

Prototype app for phoneme training at home

Meeting Abstract

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  • presenting/speaker Kaja Kallisch - Sivantos GmbH, Erlangen, Deutschland
  • Maja Serman - Sivantos GmbH, Erlangen, Deutschland

Deutsche Gesellschaft für Audiologie e.V.. 23. Jahrestagung der Deutschen Gesellschaft für Audiologie. Köln, 03.-04.09.2020. Düsseldorf: German Medical Science GMS Publishing House; 2020. Doc192

doi: 10.3205/20dga192, urn:nbn:de:0183-20dga1924

Published: September 3, 2020

© 2020 Kallisch et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at



Different speech training methods are currently available for hearing impaired listeners. These methods can be categorized either as being more top-down, relying on speech content associations (using words or sentences), or more bottom-up, where the attention is concentrated on spectro-temporal, low-level speech details (phonemes). Previously, we have shown that supervised phoneme training in laboratory conditions has the potential to improve speech in noise reception thresholds in hearing impaired listeners [1] [2]. Here, we describe a phoneme training method developed for unsupervised phoneme training at home, in the form of a mobile phone app. The training procedure comprises different stages, ranging from finding an optimised training sweet spot for the subject, to changing the training level difficulty (e.g. consonant environment, speakers and signal to noise ratio). Recently, we evaluated a prototype of this app in a home-use study with mild to moderate hearing impaired listeners (N = 15, median age = 63) and found significant effects on phoneme discrimination (trained material) and speech in noise understanding (untrained material).

A long version of this article is available here:


Serman M. Schoolo: new speech training method based on changes in speech cues. In: 15 Jahrestagung der Deutschen Gesellschaft für Audiologie (DGA). 2012.
Schumann A, Serman M, Gefeller O, Hoppe U. Computer-based auditory phoneme discrimination training improves speech recognition in noise in experienced adult cochlear implant listeners. Int J Audiol. 2015;54(3):190-198. DOI: 10.3109/14992027.2014.969409 External link