Probabilistic Models for Designing Motion and Sound Relationships
Probabilistic Models for Designing Motion and Sound Relationships
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用于设计运动和声音关系的概率模型
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Frédéric Bevilacqua
中科院分区：
文献类型：
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作者：
Jules Françoise;Norbert Schnell;Riccardo Borghesi;Frédéric Bevilacqua
我们提出了一组概率模型，支持交互式声音系统中的运动和声音关系的设计。我们专注于一种通过演示进行映射的方法，其中运动和声音之间的关系由从一组用户示例中学习的机器学习模型来定义。我们描述了四种在多模态和时间性方面具有互补特征的概率模型。我们通过使用我们的 Max 实现构建的声音控制原型应用程序来说明这四个模型中每一个模型的实际用途。
We present a set of probabilistic models that support the design of movement and sound relationships in interactive sonic systems. We focus on a mapping-by-demonstration approach in which the relationships between motion and sound are defined by a machine learning model that learns from a set of user examples. We describe four probabilistic models with complementary characteristics in terms of multimodality and temporality. We illustrate the practical use of each of the four models with a prototype application for sound control built using our Max implementation.