  This is the preprint version of our paper on 2015 9th International
Conference on Pervasive Computing Technologies for Healthcare
(PervasiveHealth2015). An assistive training tool software for rehabilitation
of dysphonic patients is evaluated according to the practical clinical feedback
from the treatments. One stroke sufferer and one parkinson sufferer have
provided earnest suggestions for the improvement of our tool software. The
assistive tool employs a serious game as the attractive logic part, and running
on the tablet with normal microphone as input device. Seven pitch estimation
algorithms have been evaluated and compared with selected patients voice
database. A series of benchmarks have been generated during the evaluation
process for technology selection.
