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首页> 外文期刊>Journal of Computers >Query by Humming Systems Using Melody Matching Model Based on the Genetic Algorithm
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Query by Humming Systems Using Melody Matching Model Based on the Genetic Algorithm

机译：基于遗传算法的旋律匹配模型在悍马查询中的应用

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Query by humming (QBH) refers to music information retrieval systems where short audio clips of singing or humming act as queries. Melody is considered as the most important feature in the queries and the songs. This paper proposes a QBH system using melody matching model based on the genetic algorithm and improving the ranking result by local sensitive hashing algorithm. An approximate template of the query music is constructed by melody contour aligning algorithm based on GA, which is used to align and correct the input pitch template. The validity of the algorithm is presented by the prototype of QBH system and effects of the algorithm are also shown by the experiment results.
机译：哼唱查询（QBH）是指音乐信息检索系统，其中唱歌或哼唱的短音频片段充当查询。旋律被认为是查询和歌曲中最重要的功能。本文提出了一种基于遗传算法的基于旋律匹配模型的QBH系统，并通过局部敏感哈希算法提高了排名结果。通过基于GA的旋律轮廓对齐算法构造查询音乐的近似模板，用于对齐和校正输入音高模板。 QBH系统的原型验证了该算法的有效性，实验结果也表明了该算法的有效性。

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