Cacophonic choir

Hannah Wolfe, Şölen Kıratlı, Alex Bundy
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Abstract

Cacophonic Choir is an interactive sound installation aimed at bringing attention to the firsthand stories of sexual assault survivors and the way such stories may be distorted by the media and in online discourse. The work is composed of nine vocalizing physical agents distributed in space. Each agent tells a story. Altogether, from a distance, the viewer hears an unintelligible choir---the stories are fragmented and the voices distorted. As the viewer approaches an agent, the story becomes sonically and semantically more coherent. When in the agent's personal space, the viewer can hear the firsthand account [1] of a sexual assault survivor. The work employs several digital media techniques, including machine learning, physical computing, digital audio signal processing, and digital design and fabrication. Agents are fitted with ultrasonic sensors and respond to a viewer approaching it in three ways simultaneously. First, the narrative becomes more coherent, reflecting how stories become distorted by the media. This is achieved by adjusting the accuracy of a generative machine learning algorithm that we designed and trained on the anonymous accounts of more than 500 sexual assault survivors. Second, to express how survivors are silenced, the voices are treated by a granular synthesis algorithm that generates a stuttering and halting effect that decreases as the viewer approaches the agent. Third, the individual form of each agent becomes revealed as the result of it illuminating itself from within, enabling the viewer to see through the soft silicon shell to the digitally fabricated organic form inside. Via these interactions, the work embodies the stories of sexual assault survivors and how these stories are obscured and distorted in online public discourse.
Cacophonic合唱团
杂音合唱团是一个互动的声音装置,旨在引起人们对性侵犯幸存者的第一手故事的关注,以及这些故事可能被媒体和网络话语扭曲的方式。该作品由分布在空间中的九个发声实体组成。每个代理都讲述一个故事。总之,从远处看,观众听到的是一种难以理解的合唱——故事是支离破碎的,声音是扭曲的。当观众接近代理人时,故事在声音和语义上变得更加连贯。在代理人的私人空间里,观众可以听到性侵犯幸存者的第一手描述[1]。这项工作采用了几种数字媒体技术,包括机器学习、物理计算、数字音频信号处理以及数字设计和制造。机器人配备了超声波传感器,并以三种方式同时对接近它的观察者做出反应。首先,叙事变得更加连贯,反映了故事是如何被媒体扭曲的。这是通过调整生成式机器学习算法的准确性来实现的,该算法是我们根据500多名性侵犯幸存者的匿名账户设计和训练的。其次,为了表达幸存者是如何沉默的,声音被一个颗粒合成算法处理,产生口吃和停顿的效果,随着观众接近代理而减少。第三,每个主体的个体形态通过从内部照明而显露出来,使观众能够透过柔软的硅壳看到内部数字制造的有机形态。通过这些互动,作品体现了性侵犯幸存者的故事,以及这些故事如何在网络公共话语中被模糊和扭曲。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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