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As we known, features of speech signal not only reflect the identity information, but also contain the semantical information. In this paper, we describe a novel neural network ensemble architecture based on the finding that the diphthong and multi-vowel in Chinese can approximately be considered as the complex of mono- vowel and transitional part in the standpoint of short-term analysis. Several...
Ensemble with K Nearest Neighbor (KNN) learner is a novel approach to speaker recognition. It has many advantages over other conversational methods such as simplicity and good generalization ability. At the same time, the generalization ability of an ensemble could be significantly better than that of a single learner. In this paper, we intend to improve the performance of the speaker recognition...
A novel approach of extracting speaker features based on speech clustering technology which employs both speaker's personality and speech cues is proposed in this work for speaker recognition. Specifically, the speech clustering-based approach is first applied before speaker feature extraction and multi-feature which is extracted respectively from the distinct clusters based on speech clustering is...
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