Abstract
Speech recognition has seen a significant development in past decade. Advances in digital speech processing are supporting affordable applications in a variety of human/machine communication. This emerging technology has been implemented in fields like security, medicine, media, and recently in web browsing by Google Voice search. This paper discusses a speech-activated assistive system for locating misplaced items. Technologies such as Bluetooth and Android open-source platform are used in the design. Bluetooth-enabled system ensures a user-compatible, compact, wireless, and secure operation. Microcontroller-based asset tracking tags are developed which are attached to items that most commonly get misplaced. Using speech commands as input to the Android application created, these items can be tracked. Buzzer interfaced with the microcontroller in every tracking tag assists the tracking process. This work paves the way to promote the use of speech recognition for the development of a variety of innovative-assistive technologies.
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Nusbaum, H.C., Francis, A.L., Henly, A.S.: Measuring the naturalness of synthetic speech. Int. J. Speech Technol. 2(1), 719 (1997). https://doi.org/10.1007/BF02277176
Raman, T.V., Gries, D.: Audio formatting making spoken text and math comprehensible. Int. J. Speech Technol. 1(1), 2131 (1995). https://doi.org/10.1007/BF02277177
Roe, D.B., Wilpon, J.G.: Voice Communication between Humans and Machines. ISBN 978-0-309-04988-7. https://doi.org/10.17226/2308
Ahmad, S., Lu, R., Ziaullah, M.: Bluetooth an optimal solution for personal asset tracking: a comparison of bluetooth, RFID and miscellaneous anti-lost traking technologies. Int. J. u and e Serv. Sci. Technol. 8(3) (2015). https://doi.org/10.14257/ijunesst.2015.8.3.17
Bisio, I., Sciarrone, A., Zappatore, S.: Asset tracking architecture with bluetooth low energy tags and ad hoc smartphone applications. In: 2015 European Conference on Networks and Communications, June 2015. https://doi.org/10.1109/eucnc.2015.7194118
Dofe, R.S., Jadhav, S.K., Pingle, B.: Smart object finder by using android and bluetooth low energy. Int. J. Innovat. Sci. Res. 13(1) (2015)
Tarneja, R., Khan, H., Agrawal, R.A., Patil, D.D.: Voice commands control recognition android app. Int. J. Eng. Res. Gen. Sci. 3(2), 145–150 (2015). ISSN: 2091-2730
Nafis, N.A., Safaet Hossain, M.D.: Speech to text conversion in real-time. Int. J. Innovat. Sci. Res. 17(2), 271–277 (2015). ISSN: 2351-8014
Rodman, R.D., Williams, O.: Voter response to computerized campaigning. Int. J. Speech Technol. 1(1), 33–40 (1995). https://doi.org/10.1007/bf02277178
DeHaemer, M.J., Wright, G., Richards, M.H., Dillon, T.W.: Keep talking performance effectiveness with continuous voice recognition for spreadsheet users. Int. J. Speech Technol. 1(1), 41–48 (1995). https://doi.org/10.1007/BF02277179
Khilari, P., Bhope, V.P.: Implementation of speech to text conversion. Int. J. Innovat. Res. Sci. Eng. Technol. 4(7), 3067–3072 (2015). https://doi.org/10.15680/IJIRSET.2015.0407167
Sutar Shekhar, S., Pophali Sameer, S., Kamad Neha, S., Deokate Laxman, J.: Intelligent voice assistant using android platform. Int. J. Advanc. Res. Comput. Sci. Manag. Stud. 3(3), 55–60. ISSN: 2231-2803 (2015)
Frewat, G., Baroud, C., Sammour, R., Kaseem, A., Hamad, M.: Android voice recognition application with multi speaker function. In: Mediterranean Electrotechnical Conference, April 2016. https://doi.org/10.1109/melcon.2016.7495395
Lin, Y.-J., Chen, H.-S., Su, M.-J.: A cloud based bluetooth low energy tracking system for dementia patients. In: Eighth International Conference on Mobile Computing and Ubiquitous Networking (ICMU), January 2015. https://doi.org/10.1109/icmu.2015.7061043
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Pendse, A., Parakh, A., Verma, H.K. (2019). Design of Asset Tracking System Using Speech Recognition. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-13-1742-2_36
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DOI: https://doi.org/10.1007/978-981-13-1742-2_36
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