To develop a Low-Cost Language Recognition system and Playback using Raspberry Pi.
Sound intelligence is added to a home automation for physically challenged people as a broad perspective of the thesis. Home automation already in practice is by switching on or off a device via wired networks. But this is inefficient for people with impairment in mobility or spinal cord disability due to ageing factors. The easiest way of controlling a device is through human voice. This paper is presented with the concept of speech recognition being implemented to control the home appliances. Based on that voice command the appliances can be controlled. The module contains a secured speech recognizer for automatic door opening/closing and a general voice recognizer to control appliances like television, music player, fan, light, etc. All the above are implemented in a low cost Raspberry Pi board. Thus a goal of producing an automation device has been designed at low cost using speech recognition.