Review on Automated Elevator-An Attentive Elevator To Elevate Using Speech Recognition
Keywords:
Arduino UNO; Smart Elevator; Voice-Controlled; Bluetooth Module; Embedded System.Abstract
Elevator has over time become an important part of our day-to-day life. It is used as an everyday transport device useful to move goods as well as persons. In the modern world, the city and crowded areas require multiform buildings. According to wheelchair access laws, elevators/lifts are a must requirement in new multi-stored buildings. The main purpose of this project is to operate the elevator by voice command. The project is operating based on voice, which could help handicap people or dwarf people to travel from one place to another without the help of any other person. The use of a microcontroller is to control different devices and integrate each module, namely- voice module, motor module, and LCD. LCD is used to display the present status of the lift. The reading edge of our project is the “voice recognition system” which genet’s exceptional result while recognizing speech.
How to cite this article:
Patil V, Loharkar S, Borade S et al. Review on Automated Elevator-an Attentive Elevator to Elevate using Speech Recognition. J Adv Res Power Electro Power Sys 2021; 8(1&2): 20-26.
DOI: https://doi.org/10.24321/2456.1401.202102
References
P.Cernys, V.Kubilius, V.Macerauskas, K.Ratkevicius, Intelligent Control of the Elevator Model, IEEE lnternational Workshop on Intelligent Data Acquisition and Advanced Computing System: Technology and Applications8- 10September2W3, Lviv,Ukraine.
Richard V.Cox,Fellow IEEE, Candace A. Kamm, Senior member, IEEE, Lawrence R. Rabiner, Fellow, IEEE, Juergen Schroeter, Senior member, IEEE ,and Jay G. Wiplon, Fellow,
IEEE, Speech and language processing for next –millennium communication services proceeding of the IEEE, VOL. 88, NO. 8, AUGUST 2000.
Roger K. Moore, Member, IEEE, PRESENCE: A Human Inspired Architecture for Speech-Based Human-Machine Interaction IEEE Transactions of computer, VOL. 56, NO. 9, SEPTEMBER 2007.
Li Deng, Fellow, IEEE, and Xiao Li, Member, IEEE ,Machine Learning Paradigms for Speech Recognition: An Overview IEEE Transaction on audio, speech, and language processing VOL. 21, NO. 5, MAY 2013.
Punit Kumar Sharma, Dr. B.R. Lakshmikantha and K. ShanmukhaSundar, Real Time Control of DC Motor Drive using Speech Recognition 978-1-4244-7882-8/11/$26.00 ©2011 IEEE
A. Rudzionis. Isolated word recognition by fully phonetically word template. Contribution to the COST232 final report. 1994. pp. 11-13.
R. Cox, C. Kamm, L. Rabiner, J. Schroeter, J.Wilpon. Speech and Language Processing for Next-Millennium Communications Services. Proceedings of the IEEEE, Vol.88, No.8, August 2000, pp. 1314-1337.
A. Rudzionis. Recognition by averaged templates. COST249: “Continuous Speech Recognition Over the Telephone”. Draft minutes of the 1stManagement Committee Meeting, Brussel, Belgium 1994, pp. 41-47.
A. Rudzionis, V. Rudzionis. Noisy speech detection and end pointing. Voice operated telecom services. Do they have a bright future? Workshop Proceedings,
Ghent, Belgium 11-12 May 2000, pp. 79-82.
