Creating singing vocal expressions by means of interactive evolutionary computation

Akio Watanabe, H. Iba
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引用次数: 2

Abstract

Today, research on singing by computers has attracted attention of researchers. VOCALOID is an application to realise that aim. By inputting lyrics and melody, users can make songs sung by the computer. In order to make the singing voice sound more human, users must control frequency curve very carefully. Compared with inputting lyrics or melody, this controlling presents heavy overhead for users. In this research, we propose a system for easily optimising frequency curves with Interactive Evolutionary Computation (IEC). We compared various frequency models by evaluating the convergence performance of GA to fit one of the frequency curves of real human singing, and found a suitable one for achieving our goal. And we made a questionnaire to compare previous interfaces and our IEC interface. From the results of this survey, we found our IEC interface can optimise frequency curve more easily than previous interfaces.
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通过交互进化计算创造歌唱的声音表达
如今,计算机唱歌的研究已经引起了研究人员的关注。VOCALOID就是一个实现这一目标的应用程序。通过输入歌词和旋律,用户可以制作由电脑演唱的歌曲。为了使歌声听起来更人性化,用户必须非常仔细地控制频率曲线。与输入歌词或旋律相比,这种控制给用户带来了沉重的开销。在这项研究中,我们提出了一个交互式进化计算(IEC)的系统,可以很容易地优化频率曲线。我们通过评估遗传算法的收敛性能来比较各种频率模型来拟合真实人类歌唱的频率曲线,并找到适合我们目标的频率模型。我们做了一个问卷来比较以前的接口和我们的IEC接口。从这次调查的结果来看,我们发现我们的IEC接口比以前的接口更容易优化频率曲线。
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