Learning Effect in EL speech
- Master Thesis
- Announcement date
- 20 Jan 2014
- Hartwig Klammer
- Research Areas
The larynx, which contains the vocal folds, is essential for the production of speech. If the larynx is surgically removed, typically due to cancer, the patient loses the ability to speak. One possibility to be able to communicate again is to use a hand-held, battery-driven device – the electro-larynx.
The device is held against the neck and its vibrations are transmitted through the neck. The patient can create speech by modulating the energy in the vocal tract. A major drawback of the device is that the constant excitation signal results in robotic sounding speech.
To make the speech sound more natural a varying fundamental frequency needs to be introduced to the EL.
One possibility is to use surface electromyography (sEMG) to control the pitch of an sEMG-controlled EL .
The advantage of a EMG based EL is that On/OFF switch as well as fundamental frequency control can be controlled in an automatic way.
In a previous project the hardware to capture sEMG signal was developed.
- Review of literature
- MATLAB implementation of fundamental frequency control using EMG signal
- Motivation and interest in the topic
- Knowledge in Matlab and (speech) signal processing
The final text of this thesis can be found here.