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Music Information Retrieval from a Singing Voice Using Lyrics and Melody Information

机译:使用歌词和旋律信息从歌声中检索音乐信息

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Recently, several music information retrieval (MIR) systems which retrieve musical pieces by the user's singing voice have been developed. All of these systems use only melody information for retrieval, although lyrics information is also useful for retrieval. In this paper, we propose a new MIR system that uses both lyrics and melody information. First, we propose a new lyrics recognition method. A finite state automaton (FSA) is used as recognition grammar, and about retrieval accuracy was obtained. We also develop an algorithm for verifying a hypothesis output by a lyrics recognizer. Melody information is extracted from an input song using several pieces of information of the hypothesis, and a total score is calculated from the recognition score and the verification score. From the experimental results, 95.0 retrieval accuracy was obtained with a query consisting of five words.
机译:最近,已经开发了几种通过用户的歌声来检索音乐作品的音乐信息检索(MIR)系统。所有这些系统仅使用旋律信息进行检索,尽管歌词信息对于检索也很有用。在本文中,我们提出了一种新的MIR系统,该系统同时使用歌词和旋律信息。首先,我们提出了一种新的歌词识别方法。使用有限状态自动机(FSA)作为识别语法,并获得了大约的检索精度。我们还开发了一种算法,用于验证歌词识别器输出的假设。使用假设的几条信息从输入歌曲中提取旋律信息,并根据识别分数和验证分数计算总分数。从实验结果来看,由五个词组成的查询获得了95.0的检索精度。

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