音乐声音合成的艺术现状和未来方向

Xavier Serra
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引用次数: 9

摘要

40多年来,声音合成与处理一直是声音与音乐计算领域最活跃的研究课题。相当多的早期研究成果现在是许多音频和音乐设备的标准组件,新技术不断被开发并集成到新产品中。这些年来发生了重要的变化。例如,在70年代和80年代作为工作重点的大多数抽象算法都被认为是过时的。然后,在20世纪90年代,出现了旨在捕捉声源特征的计算方法,称为物理模型,或者旨在捕捉声音信号的感知特征,通常称为频谱或信号模型。最近的趋势包括物理和光谱模型的结合以及基于语料库的连接方法。但该领域面临着重大挑战,可能会彻底改变声音合成的标准范例和应用。在本文中,我们将首先将声音合成主题置于其研究背景中,然后我们将强调当前的一些趋势,最后我们将尝试确定未来的一些挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State of the Art and Future Directions in Musical Sound Synthesis
Sound synthesis and processing has been the most active research topic in the field of sound and music computing for more than 40 years. Quite a number of the early research results are now standard components of many audio and music devices and new technologies are continuously being developed and integrated into new products. Through the years there have been important changes. For example, most of the abstract algorithms that were the focus of work in the 70s and 80s are considered obsolete. Then the 1990s saw the emergence of computational approaches that aimed either at capturing the characteristics of a sound source, known as physical models, or at capturing the perceptual characteristics of the sound signal, generally referred to as spectral or signal models. More recent trends include the combination of physical and spectral models and the corpus-based concatenative methods. But the field faces major challenges that might revolutionize the standard paradigms and applications of sound synthesis. In this article, we will first place the sound synthesis topic within its research context, then we will highlight some of the current trends, and finally we will attempt to identify some challenges for the future.
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