Application of Human-Computer Speech Interaction in Dispatching System

Abstract:

Article Preview

With the rapid development of power market, the intelligent dispatching plays a central role, so that the dispatchers are in the presence of a great quantity of challenges. In order to lessen the dispatchers’ burden and raise the working efficiency, this paper proposes a project of integrating the speech technology into the intelligent dispatching system. The project is designed and implemented on the Microsoft Speech API (SAPI) platform. The main components of the system are speech training, grammar compilation, speech recognition, keyword extraction, inquiry backstage and speech synthesis. In the next stage, optimizing grammar and building high performance will be paid more attention.

Info:

Periodical:

Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim

Pages:

1204-1207

Citation:

L. Q. Yang et al., "Application of Human-Computer Speech Interaction in Dispatching System", Advanced Materials Research, Vols. 588-589, pp. 1204-1207, 2012

Online since:

November 2012

Export:

Price:

$38.00

[1] Yang JS, Xiao XQ, Liu JY, Huang Y, Liu JJ. Research on the dispatching technical supporting system in smart grid. In: Proceedings of International Conference on Internet Computing & Information Services; Sept. 2011, pp.347-352.

DOI: https://doi.org/10.1109/icicis.2011.90

[2] Liu Y, Liu JY, Wang MK, Hou HF, Pan R. A study on intelligent warning in power system dispatching. In: Proceedings of Asia-Pacific Power and Energy Engineering Conference; Mar. 2010, pp.1-7.

DOI: https://doi.org/10.1109/appeec.2010.5448796

[3] Guan FH, Zhao DM, Zhang X, Shan BT, Liu Z. Study on the intelligent decision support system for power grid dispatching. In: Proceedings of International Conference on Sustainable Power Generation and Supply; Apr. 2009, pp.1-4.

DOI: https://doi.org/10.1109/supergen.2009.5347904

[4] Zeng FF. Application research of voice control in reading assistive device for visually impaired persons. In: Proceedings of International Conference on Multimedia Information Networking and Security; Nov. 2010, pp.14-16.

DOI: https://doi.org/10.1109/mines.2010.10

[5] Yuan XJ, Fan J. Design and implementation of voice controlled Tetris game based on Microsoft SDK. In: Proceedings of International Conference on Multimedia Technology; Jul. 2011, pp.275-278.

DOI: https://doi.org/10.1109/icmt.2011.6001825

[6] Normandin Y. Optimal splitting of HMM Gaussian mixture components with MMIE training. In: Proceedings of International Conference on Acoustics, Speech, and Signal Processing; May 1995, vol. 1, pp.449-452.

DOI: https://doi.org/10.1109/icassp.1995.479625

[7] Abe Y, Nakajima K. Training of lexical models based on DTW-based parameter reestimation algorithm. In: Proceedings of International Conference on Acoustics, Speech, and Signal Processing; Apr. 1988, vol. 1, pp.623-626.

DOI: https://doi.org/10.1109/icassp.1988.196662