Musical instrument identification based on F0-dependent multivariate normal distribution
Musical instrument identification based on F0-dependent multivariate normal distribution
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基于F0相关多元正态分布的乐器识别
DOI：
10.1109/icme.2003.1221335
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
HIroshi G. Okuno
中科院分区：
文献类型：
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作者：
Tetsuro Kitahara;Masataka Goto;HIroshi G. Okuno
音色的音高依赖性在乐器识别中尚未得到充分利用。本文提出了一种使用F0相关多元正态分布的方法，其均值由基频（FO）的函数表示。该F0相关均值函数表示每个特征的音高相关性，而F0归一化协方差表示非音高相关性。乐器声音首先由F0依赖的多元正态分布分析，然后使用基于贝叶斯决策规则的判别函数识别。对19种乐器的6,247个单音进行10倍交叉验证的实验结果表明，该方法将单乐器识别率从75.73%提高到79.73%，类别识别率从88.20%提高到90.65%。
The pitch dependency of timbres has not been fully exploited in musical instrument identification. In this paper, we present a method using an F0-dependent multivariate normal distribution of which mean is represented by a function of fundamental frequency (FO). This F0-dependent mean function represents the pitch dependency of each feature, while the F0-normalized covariance represents the non-pitch dependency. Musical instrument sounds are first analyzed by the F0-dependent multivariate normal distribution, and then identified by using the discriminant function based on the Bayes decision rule. Experimental results of identifying 6,247 solo tones of 19 musical instruments by 10-fold cross validation showed that the proposed method improved the recognition rate at individual-instrument level from 75.73% to 79.73%, and the recognition rate at category level from 88.20% to 90.65%.