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Low-Cost Speaker and Language Recognition Systems Running on a Raspberry Pi

Project Objective

To develop a Low-Cost Language Recognition system and Playback using Raspberry Pi. 

Introduction

Level: Buddy

 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.

BLOCK DIAGRAM

Procedure

  1. Speaker and Microphone
  2. Connections
  3. Program
  4. Output
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Connection Diagram

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