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On the Use of the Humanoid Bioloid System for Robot-Assisted Transcription of Mexican Spanish Speech

机译:人形生物系统在墨西哥西班牙语语音的机器人辅助转录中的应用

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摘要

Within the context of service robotics (SR), the development of assistive technologies has become an important research field. However, the accomplishment of assistive tasks requires precise and fine control of the mechanic systems that integrate the robotic entity. Among the most challenging tasks in robot control, the handwriting task (transcription) is of particular interest due to the fine control required to draw single and multiple alphabet characters to express words and sentences. For language learning activities, robot-assisted speech transcription can motivate the student to practice pronunciation and writing tasks in a dynamic environment. Hence, this paper is aimed to provide the techniques and models to accomplish accurate robot-assisted transcription of Spanish speech. The transcriptor is integrated by a multi-user speech recognizer for continuous speech and the kinematic models for the Mexican Spanish alphabet characters. The Bioloid system with the standard humanoid configuration and no special modifications or tools was considered for implementation. Particularly, the proposed transcriptor could perform the handwriting task with the Bioloid’s two two DOF (degrees-of-freedom) arms. This enabled writing of one-line short and long sentences with small alphabet characters (width 1.0 cm). It is expected that the technique and models that integrate the transcriptor can provide support for the development of robot-assisted language learning activities for children and young adults.
机译:在服务机器人技术(SR)的背景下,辅助技术的发展已成为重要的研究领域。但是,辅助任务的完成需要对集成了机器人实体的机械系统进行精确和精细的控制。在机器人控制中最具挑战性的任务中,手写任务(抄写)特别有趣,这是因为绘制单个和多个字母字符以表达单​​词和句子所需的精细控制。对于语言学习活动,机器人辅助的语音转录可以激励学生在动态环境中练习发音和写作任务。因此,本文旨在提供技术和模型来完成准确的机器人辅助西班牙语语音转录。转录器由多用户语音识别器集成,用于连续语音和墨西哥西班牙语字母字符的运动学模型。具有标准人形配置且没有特殊修改或工具的Bioloid系统被认为可以实施。特别是,拟议的抄写员可以用Bioloid的两个两个DOF(自由度)臂执行手写任务。这样就可以编写带有小字母字符(宽度<1.0厘米)的单行短和长句子。可以预期的是,整合转录器的技术和模型可以为开发儿童和年轻人的机器人辅助语言学习活动提供支持。

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