Android-based real-time signal processing to treat speech-language pathologies

This paper presents an Android mobile phone application demonstrating methods for implementing or assisting traditional speech therapy techniques using mobile devices. Namely, the paper will present the theory behind the treatment, specific techniques for implementing this in an Android device, and results from testing. The techniques are principally aimed at treating Parkinson´s-disease induced hypophonia and habit-induced hyperphonia, but are applicable to other speech or language disorders, particularly vocal projection issues. The software uses therapist-supplied volume limitations and provides visual and aural feedback to indicate needed improvements. The application can be used with normal speech or while performing a speech therapy exercise from a standardized text, while logging session data in a format allowing the therapist to identify which portions of the exercise the patient is struggling with. In order to implement this as a viable medical device, the following requirements should be kept in mind: · Rapidness of feedback · Ease and pleasantness of use for even tech-averse patients (often neglected) · Customizability by medical professionals for versatility · Backwards-compatibility for older or simpler Android devices Through this, the patient will be able to improve his/her volume of speech, word pronunciation, and flow of speech conveniently and inexpensively.