An Improved Query by Singing/Humming System Using Melody and Lyrics Information
An Improved Query by Singing/Humming System Using Melody and Lyrics Information
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一种改进的使用旋律和歌词信息的唱歌/哼唱系统查询
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Wennen Wang
中科院分区：
文献类型：
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作者：
Chung;J. Jang;Wennen Wang
本文提出了一种改进的歌唱/哼唱查询系统(QBSH)，该系统同时利用了旋律和歌词信息，以获得更好的性能。歌唱/哼唱辨别(SHD)首先被用来区分歌唱和哼唱询问。对于哼唱查询，我们应用了一种仅基于基音的旋律识别方法，该方法已用于MIREX的QBSH任务，性能为1。对于歌唱查询，我们结合旋律识别和歌词识别的分数来利用额外的歌词信息。歌词识别基于语音识别中常用的修改后的树形词典。在两个实验设置下，整个QBSH系统对TOP-20的识别率分别达到39.01%和23.53%，表明了该方法的可行性。
This paper proposes an improved query by singing/humming (QBSH) system using both melody and lyrics information for achieving better performance. Singing/humming discrimination (SHD) is first performed to distinguish singing from humming queries. For a humming query, we apply a pitch-only melody recognition method that has been used for QBSH task at MIREX with rank-1 performance. For a singing query, we combine the scores from melody recognition and lyrics recognition to take advantage of the extra lyrics information. Lyrics recognition is based on a modified tree lexicon that is commonly used in speech recognition. The performance of the overall QBSH system achieves 39.01% and 23.53% error reduction rates, respectively, for top-20 recognition under two experimental settings, indicating the feasibility of the proposed method.