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Generation of Affective Accompaniment in Accordance With Emotion Flow

机译:根据情感流产生情感伴奏

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摘要

The emotion expressed by a music piece varies as the music unrolls in time. To create such dynamic expression, we develop an algorithm that automatically generates the accompaniment for a melody according to the emotion flow specified by a user. The emotion flow is given in the form of arousal and valence curves, each as a function of time. The affective accompaniment is composed of chord progression and accompaniment pattern. The chord progression, which controls the valence of the composed music, is generated by dynamic programming using the input melody and valence data as constraints. A mathematical model is developed to describe the temporal relationship between valence and chord progression. The accompaniment pattern, which controls the arousal of the composed music, is determined according to the quantized arousal values. The performance of the system is evaluated by subjective tests. The cross-correlation coefficient between the input arousal (valence) and the perceived arousal (valence) of the composed music is 0.85 (0.52). It rises to 0.92 for arousal and 0.88 for valence if only musician subjects in the test are considered. Overall, the proposed system is capable of generating subjectively appropriate accompaniments conforming to the user specification.
机译:音乐随着时间的流逝而表达的情感会发生变化。为了创建这种动态表达,我们开发了一种算法,该算法可以根据用户指定的情感流自动生成旋律的伴奏。情绪流以唤醒和价态曲线的形式给出,每个曲线都是时间的函数。情感伴奏由和弦进行和伴奏模式组成。使用输入的旋律和价数数据作为约束条件,通过动态编程来生成控制合成音乐的价数的和弦进行。建立了数学模型来描述化合价与和弦进行之间的时间关系。根据量化的唤醒值来确定控制合成音乐的唤醒的伴奏模式。系统的性能通过主观测试进行评估。合成音乐的输入唤醒(价)与感知唤醒(价)之间的互相关系数为0.85(0.52)。如果仅考虑测试中的音乐人,则唤醒时的唤醒度提高到0.92,价数提高到0.88。总体而言,所提出的系统能够产生符合用户规范的主观上适当的伴奏。

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