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Proceedings Paper

Development of the hidden Markov models based Lithuanian speech recognition system
Author(s): Z. Ringeliene; A. Lipeika
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Paper Abstract

The paper presents a prototype of the speaker-independent Lithuanian isolated word recognition system. The system is based on the hidden Markov models, a powerful statistical method for modeling speech signals. The prototype system can be used for Lithuanian words recognition investigations and is a good starting point for the development of a more sophisticated recognition system. The system graphical user interface is easy to control. Visualization of the entire recognition process is useful for analyzing of the recognition results. Based on this recognizer, a system for Web browser control by voice was developed. The program, which implements control by voice commands, was integrated in the speech recognition system. The system performance was evaluated by using different sets of acoustic models and vocabularies.

Paper Details

Date Published: 15 September 2010
PDF: 6 pages
Proc. SPIE 7745, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2010, 774512 (15 September 2010); doi: 10.1117/12.872119
Show Author Affiliations
Z. Ringeliene, Institute of Mathematics and Informatics (Lithuania)
A. Lipeika, Institute of Mathematics and Informatics (Lithuania)


Published in SPIE Proceedings Vol. 7745:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2010

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