小波变换与谱减法在Rindik歌曲自动誊写中的应用

Y. Christian, I. Darmawan
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引用次数: 0

摘要

林迪克是巴厘岛的传统音乐,由水平排列的竹竿组成,用一种叫做“panggul”的槌状工具击打竹竿。本研究采用小波变换和谱减法对Rindik的音乐歌曲进行自动转录。光谱减法与迭代估计和分离方法相结合。而小波变换方法则是将片段小波结果与数据集中的小波结果引用进行匹配。转录结果也用串联合成法再次合成。使用的数据是1根Rindik棒和2根Rindik棒同时被击中的组合,为了测试系统,使用了4首Rindik歌曲。每个数据记录3次。小波变换法和谱减法使用了几个参数,分别是小波变换法的帧长度和谱减法的频差容差区间。测试是通过测量系统中所有Rindik歌曲数据的转录准确性来完成的。结果表明,在Rindik歌曲的转录过程中,小波变换法的平均准确率为83.42%,谱减法的平均准确率为78.51%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet Transformation and Spectral Subtraction Method in Performing Automated Rindik Song Transcription
Rindik is Balinese traditional music consisting of bamboo rods arranged horizontally and played by hitting the rods with a mallet-like tool called "panggul". In this study, the transcription of Rindik's music songs was carried out automatically using the Wavelet transformation method and spectral subtraction. Spectral subtraction method is used with iterative estimation and separation approaches. While the Wavelet transformation method is used by matching the segment Wavelet results with the Wavelet result references in the dataset. The results of the transcription were also synthesized again using the concatenative synthesis method. The data used is the hit of 1 Rindik rod and a combination of 2 Rindik rods that are hit simultaneously, and for testing the system, 4 Rindik songs are used. Each data was recorded 3 times. Several parameters are used for the Wavelet transformation method and spectral subtraction, which are the length of the frame for the Wavelet transformation method and the tolerance interval for frequency difference in spectral subtraction method. The test is done by measuring the accuracy of the transcription from the system within all Rindik song data. As a result, the Wavelet transformation method produces an average accuracy of 83.42% and the spectral subtraction method produces an average accuracy of 78.51% in transcription of Rindik songs.
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