Voice Puppetry: Speech Synthesis Adventures in Human Centred AI

M. Aylett, Yolanda Vazquez-Alvarez
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引用次数: 6

Abstract

State-of-the-art speech synthesis owes much to modern AI machine learning, with recurrent neural networks becoming the new standard. However, how you say something is just as important as what you say. If we draw inspiration from human dramatic performance, ideas such as artistic direction can help us design interactive speech synthesis systems which can be finely controlled by a human voice. This "voice puppetry" has many possible applications from film dubbing to the pre-creation of prompts for a conversational agent. Previous work in voice puppetry has raised the question of how such a system should work and how we might interact with it. Here, we share the results of a focus group discussing voice puppetry and responding to a voice puppetry demo. Results highlight a main challenge in user-centred AI: where is the trade-off between control and automation? and how may users control this trade-off?
声音木偶:以人为中心的AI中的语音合成冒险
最先进的语音合成在很大程度上要归功于现代人工智能机器学习,而循环神经网络正成为新的标准。然而,你说话的方式和你说的话一样重要。如果我们从人类的戏剧表演中获得灵感,艺术指导等想法可以帮助我们设计出可以由人类声音精细控制的交互式语音合成系统。这种“声音木偶”有许多可能的应用,从电影配音到对话代理提示的预创建。以前在声音木偶方面的工作提出了这样一个系统应该如何工作以及我们如何与它互动的问题。在这里,我们分享焦点小组讨论声音木偶和回应声音木偶演示的结果。结果突出了以用户为中心的人工智能的一个主要挑战:控制和自动化之间的权衡在哪里?用户如何控制这种权衡?
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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