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Combining Multiple Foreign Language Speech Recognizers by using Neural Networks
Tomas Rasymas, Vytautas Rudžionis
33 - 39
10.3233/978-1-61499-442-8-33
Frontiers in Artificial Intelligence and Applications
Volume 268: Human Language Technologies – The Baltic Perspective
Abstract

This paper proposes a new method for combining multiple foreign language speech recognizers which are adapted to recognize Lithuanian voice commands. The recognizers are combined by using neural network. The type or structure of speech recognizer is not important for method but at least it must return recognized command and recognition hypothesis. These two parameters are used to train neural network and to make the final decision about recognized command. The proposed method showed that recognition accuracy was increased by 4.94 % as compared to the best single recognizer.

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