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Implementation of Real-time Wheel Order Recognition System Based on the Predictive Parameters for Speaker`s Intention
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 Title & Authors
Implementation of Real-time Wheel Order Recognition System Based on the Predictive Parameters for Speaker`s Intention
Moon, Serng-Bae; Jun, Seung-Hwan;
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 Abstract
In this paper new enhanced post-process predicting the speaker`s intention was suggested to implement the real-time control module for ship`s autopilot using speech recognition algorithm. The parameter was developed to predict the likeliest wheel order based on the previous order and expected to increase the recognition rate more than pre-recognition process depending on the universal speech recognition algorithms. The values of parameter were assessed by five certified deck officers being good at conning vessel. And the entire wheel order recognition process were programmed to TMS320C5416 DSP so that the system could recognize the speaker`s orders and control the autopilot in real-time. We conducted some experiments to verify the usefulness of suggested module. As a result, we have confirmed that the post-recognition process module could make good enough accuracy in recognition capabilities to realize the autopilot being operated by the speech recognition system.
 Keywords
Speaker`s intention;Autopilot;Wheel order;Speech recognition;TMS320C5416 DSP;
 Language
English
 Cited by
 References
1.
Ann, T. O., Byun, Y. K., Kim, S. H.(1990), Isolated Word Recognition by HMM using Multisection MSVQ, Journal of Institute of Electronics Engineers, Vol. 27, No. 9, pp.158-159

2.
Chung, I. J.(2007), Implementation of a Single-chip Speech Recognizer Using the TMS320C2000 DSPs, Speech Sciences, Vol. 14, No. 4, pp.157-167

3.
Cole R., Hirschman L.(1995), The Challenge of Spoken Language Systems : Research Directions for the Nineties, IEEE trans. on Speech and Audio Processing, Vol. 3, No. 4, pp.1-18 crossref(new window)

4.
Kim, H. L.(2003), The technology of Speech Recognition, Journal of the Korean Multimedia, Vol. 7, No. 2, pp.16-20

5.
Logitech, http://www.logitech.com/en-gb/gaming/headsets/devices

6.
Moon, S. B.(2008), Enhancement of Ship's Wheel Order Recognition System using Speaker's Intention Predictive Parameters, Journal of the Korean Society of Marine Engineering, Vol. 32, No. 5, pp.791-796 crossref(new window)

7.
Park, G. K.(2007), Ship automation and marine safety information system, Journal of Institute of Electronics Engineers, Vol. 34, No. 11, pp.1262-1270

8.
Rabiner L. R., Juang B. H.(1999), Fundamentals of Speech Recognition, Prentice Hall, pp.112-116

9.
Son, N. S., Kim, S. Y.(2002), Development of Voice Information System for Safe Navigation in Marine Simulator, Journal of the Korean Society for Marine Environmental Engineering, Vol. 5, No. 3, pp.28-31

10.
Texas Instruments, http://www.ti.com/tool/tmdsdsk5416