Implementation of a speech recognizer and synthesizer for the physically challenged

Implementation of a speech recognizer and synthesizer for the physically challenged

Computer Science

Speech Recognition and Speech Synthesis are two complementary technologies that are used in systems to which the human voice serves as input or output. People with physical, motor disabilities prefer systems that can be driven by their voice than using the strenuous, usual and standard input-output devices such as keyboard, mouse and monitor. Solutions under the umbrella of “Assistive Technology” are designed to support people with disabilities to overcome the difficulties in handling their diurnal chores. Present-day commercial speech processing systems have received wider customer acceptance, yet not suitable for people with speech disabilities. It is observed that present-day speech recognizers fail to recognize voices with distortions, misrepresentations and deformations. The unintelligibility of the input voice limits the use of off-the-shelf speech processing products by the speech-impaired user community. In such scenarios, the speech processing systems require alterations to become suitable for the specialised user group. Techniques of adaptation are popular in the field of speaker recognition, which can be applied in the domain of Augmentative and Alternative Communication (AAC). The main aim of this research is to model a speaker adaptive system for the speech-disabled users with articulation disorders and neurologically-based disorders due to illnesses like cerebral palsy.

V, Balaji - 1345001

CHRIST (Deemed to be University)

English

PhD