  Speech-language pathologists (SLPs) frequently use vocal exercises in the
treatment of patients with speech disorders. Patients receive treatment in a
clinical setting and need to practice outside of the clinical setting to
generalize speech goals to functional communication. In this paper, we describe
the development of technology that captures mixed speech signals in a group
setting and allows the SLP to analyze the speech signals relative to treatment
goals. The mixed speech signals are blindly separated into individual signals
that are preprocessed before computation of loudness, pitch, shimmer, jitter,
semitone standard deviation and sharpness. The proposed method has been
previously validated on data obtained from clinical trials of people with
Parkinson disease and healthy controls.
