一种启发式的用哼唱检索音乐的层次化方法

“用哼唱检索音乐”是一种友好的基于内容的音乐检索方法，它已经引起了广泛的研究兴趣；在对音乐库做了统计分析的基础上，总结了一些启发式规则，帮助对哼唱输入进行基音检测、音符分割，哼唱输入表达为音高轮廓图和节奏，音乐库中的音乐按音乐的节奏类型分为不同的节奏区域，并从每首音乐中抽取旋律轮廓图和节奏信息，用递归神经网络记忆旋律轮廓，音乐库的索引是神经网络的权值矩阵，将哼唱输入与音乐库中的音乐匹配的过程就是计算神经网络的输出过程。实验结果显示了所提方法的有效性。

A Hierarchical Approach to Query by Humming Based on Heuristic Rules

Query by humming is a user-friendly content-based music retrieval interface. To develop a practical music retrieval system, heuristic rules are concluded based on the analysis of music database to navigate note segmentation. Both rhythm and pitch information are extracted from acoustic input, rhythm is used to locate music database region, and pitch contour is used to match melody in this region; Recurrent neural network is employed to remember pitch contour, and weight metrics of recurrent neural networks are used as indices of music database, which guarantees the retrieval time to be linear to database size. Experiment results show the effectiveness of the presented approach.