Ensemble Methods for Phoneme Classiication
نویسندگان
چکیده
In this paper we investigate a number of ensemble methods for improving the performance of phoneme classiication for use in a speech recognition system. We discuss boosting and mixtures of experts, both in isolation and in combination. We present results on an isolated word database. The results show that principled ensemble methods such as boosting and mixtures provide superior performance to more naive ensemble methods. When used in combination , boosting and mixtures provide a further improvement in performance.
منابع مشابه
Ensemble Methods for Phoneme Classification
This paper investigates a number of ensemble methods for improving the performance of phoneme classification for use in a speech recognition system. Two ensemble methods are described; boosting and mixtures of experts, both in isolation and in combination. Results are presented on two speech recognition databases: an isolated word database and a large vocabulary continuous speech database. Thes...
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