A method of speaker recognition based on sub-band processing and multi-classifier combination is presented.
提出了一种基于子带处理多分类器融合的说话人识别方法。
As a common method, Multi-classifier combination falls across challenges no matter that in series or in parallel, or even be mixture of both.
组合分类方法是行人检测中常用的方法，但是无论是串联还是并联的方法，甚至串联和并联相结合的方法，都在行人检测中遇到了挑战。
This paper analyzes the factors affecting the accuracy of classifier, and designs three methods combining multi-classifier based on their performance on test corpus.
本文分析了影响分类器精度的因素，并提出了三种基于在测试例集上分类表现效果的多分类器融合方法。
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