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In this paper we are presenting our approach of creating voice based interface for one of the leading Lithuania bus route search system — www.autobusubilietai.lt. We designed a hybrid speech recognition system which is based on one Lithuanian speech recognizer (LIEPA) and two foreign language recognizers (German and Spanish). We experimented with different methods that may be used for combining outputs...
This paper presents out results obtained by experimenting with CART classifier which may be used for creating hybrid speech recognition system. We tried to create speech recognition system which is capable of producing more than 95 % accuracy by recognizing 25 drugs and 25 diseases names. For speech recognizers combination we used CART classifier. By using this classifier we obtained 97.58 % average...
The paper deals with the problem of improving speech recognition by combining outputs of several different recognizers. We are presenting our results obtained by experimenting with different classification methods which are suitable to combine outputs of different speech recognizers. Methods which were evaluated are: k-Nearest neighbors (KNN), Linear Discriminant Analysis (LDA), Quadratic Discriminant...
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