Training Tool for Speaking with a Bionic Voice
- Master Project
- Announcement date
- 09 Oct 2018
- Research Areas
Learning to speak again without a larynx is a challenging task. Usually speech produced by the bionic voice is more difficult to understand than using healty voice. Therefore it is critical, that the speaker learns to speak as intelligible as possible.
In order to monitor the intelligibility of EL speech a tool should be developed to monitor EL speech. This tool should work in real-time and using e.g. SNR or ASR as quality measure for EL speech should be implemented. Alternatively visual feedback by showing a target spectrum for different sounds.
- Design of a Training Tool for speaking without a larynx
- GUI programming
- Motivation and interest in the topic
- Background in speech signal processing
- Background in either Matlab, Python or Julia
Martin Hagmüller (email@example.com or 0316/873 4377)