无袖长衫智人

Chaim Ash, Amelia Hans
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引用次数: 0

摘要

本文提出了一种不需要将语音转换为文本的机器人自然语言习得新方法。“乡亲谈话”采用语音技术,使机器人能够理解被告知的内容,并具有学习和理解新语言的能力——包括口音、方言和生理差异。为了做到这一点,声音处理和计算机视觉被结合起来,给机器人一种时空因果关系的感觉。我们提出的“语言模型”使机器人能够通过上下文思考和表达周围环境来模仿自然说话者的对话行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robo Sapiens
This paper proposes a new method of natural language acquisition for robots that does not require the conversion of speech to text. Folks'Talks employs voice2voice technology that enables a robot to understand the meaning of what it is told and to have the ability to learn and understand new languages - inclusive of accent, dialect, and physiological differences. To do this, sound processing and computer vision are incorporated to give the robot a sense of spatiotemporal causality. The "language model" we are proposing equips a robot to imitate a natural speaker's conversational behavior by thinking contextually and articulating its surroundings.
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