Musical Applications of Real-Time Corpus-Based concatenative synthesis
Musical Applications of Real-Time Corpus-Based concatenative synthesis
复制标题
基于实时语料库的拼接合成的音乐应用
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
T. Göpfert
中科院分区：
文献类型：
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作者：
Diemo Schwarz;Sam Britton;Roland Cahen;T. Göpfert
基于语料库的拼接合成(CBCS)建立在分割和描述符分析的声音的大型数据库上，这些声音是根据与描述符空间中目标位置的接近程度来选择和播放的。这可以被视为对颗粒合成的基于内容的扩展，提供对特定声音特征的实时直接访问。这篇文章的目的是展示CBCS如何通过交互地或通过书面目标乐谱来探索语料库来支持-新的音乐理念。我们将用4个音乐作品的例子来展示这一点，这些作品探索了CBCS实现的概念，即实时语料库录音、在乐谱的比喻中进行3D导航、交互和语料库交叉合成，以及将和声选择与管弦乐乐谱紧密结合在一起。
Corpus-based concatenative synthesis (CBCS) builds on a large database of segmented and descriptor-analysed sounds that are selected and played according to proximity to a target position in the descriptor space. This can be seen as a content-based extension to granular synthesis providing direct access to specific sound characteristics in real-time. The aim of the article is to show how CBCS supports---or actually inspires---new musical ideas by exploring the corpus interactively or via a written target score. We will show this with 4 musical examples of pieces that explore the concepts made possible by CBCS of live corpus recording, navigation in 3D in a metaphor of a score, interaction and corpus cross-synthesis, and harmonic selection tighly integrated with an orchestra score.