Privacy-Enhanced Emotion Recognition Approach for Remote Health Advisory System

Abstract

Speech recognition also known as voice recognition involves in identifying the words in the speech and translates it into machine-readable form. Speech recognition applications are currently being used for health care and special needs’ assistance such as transcription of medical reports, conversational systems, command and control. The main benefit of this technology is that it can be accessed from anywhere at any time. Hence, it is now being popularly adopted for remote health advisory system especially for elderly patients. This system involves in sending a patient’s voice from a remote location for whom medical advice is required. The caregiver or the therapists provide medical advice based on the recognized voice. In the literature, many techniques exist for automatic speech recognition. However, the existing works do not much concentrate on providing technique for speech analysis and classification useful for remote health advisory system. And moreover, the existing works have not focussed on the privacy issue that arises while sending patient’s voice to a remote server. Thus, in this paper a privacy-enhanced voice recognition approach for health advisory system has been proposed to solve the limitations in the existing works.