| 基于蚁群DTW算法的哼唱搜索研究 |
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| 引用本文： | 季兴安.基于蚁群DTW算法的哼唱搜索研究[J].信息技术,2011(9):76-79. |
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| 作者姓名： | 季兴安 |
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| 作者单位： | 武汉科技大学信息科学与工程学院,武汉,430081 |
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| 摘 要： | 虽然传统DTW算法在模糊匹配上具有很好的性能,但是DTW算法通过局部最优化算出最佳路径的最小累计距离,计算量较大,搜索效率较低。蚁群DTW算法,结合蚁群算法的正回馈机制,搜索语音信号之间匹配的一条全局最优路径,既利用了语音信号的全局特征又考虑了其局部信息,与传统DTW算法相比,能大大提高哼唱搜索效率。
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| 关 键 词： | 哼唱搜索 蚁群DTW算法 局部最优化 全局最优路径 |
Study of query by humming based on ant colony DTW algorithm |
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| JI Xing-an.Study of query by humming based on ant colony DTW algorithm[J].Information Technology,2011(9):76-79. |
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| Authors: | JI Xing-an |
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| Affiliation: | JI Xing-an(School of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China) |
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| Abstract: | Although the traditional DTW algorithm has a good performance in fuzzy matching,yet its calculation is large and its efficiency of search is low when calculating minimum cumulative distance of the best path through local optimization.Ant colony DTW algorithm,combined with the positive feedback mechanism of ant colony algorithm,is used to search a global optimization path which is indicated the degree of the similarity between the speech signals.Compared with the traditional DTW algorithm,the new algorithm u... |
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| Keywords: | query by humming ant colony DTW algorithm local optimization global optimization path |
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