Home Automation by Speech Recognition
Shilpa Srivastava1, Ashutosh Kumar Singh2, Sanjay Kumar Nayak3

1Dr. Shilpa Srivastava, Department of Information Technology, Noida Institute of Engineering and Technology, Noida (U.P), India.

2Ashutosh Kumar Singh, Department of Electronics & Communication Engineering, Noida Institute of Engineering and Technology, Noida (U.P), India.

3Sanjay Kumar Nayak, Department of Computer Science & Engineering, Noida Institute of Engineering and Technology, Noida (U.P), India.

Manuscript received on 05 October 2019 | Revised Manuscript received on 19 October 2019 | Manuscript Published on 26 December 2019 | PP: 241-243 | Volume-8 Issue-12S October 2019 | Retrieval Number: L106710812S19/2019©BEIESP | DOI: 10.35940/ijitee.L1067.10812S19

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The speech control is now most important feature of a smart home. In this paper, we projected voice command module that is used to enable the user for a hands-free interaction between smart home and himself. We presented mainly three components that is required for a simple and an efficient control of smart home device(s). The wake-up-word parts allows the actual speech command processing. The voice recognition part maps the spoken voice command to text and then Voice Control Interface passes that text into an appropriate JSON format for the home automation. We evaluate every possibility of using a voice control module in the smart home by distinctly analyzing each and every component of module.

Keywords: Smart Home, Deep Neural Network, Sensors, Wake-up-Word, Speech Recognition.
Scope of the Article: Speech interface; Speech processing