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使用多指触觉显示器的控制器设计与辅音对比编码

Controller design and consonantal contrast coding using a multi-finger tactual display.

作者信息

Israr Ali, Meckl Peter H, Reed Charlotte M, Tan Hong Z

机构信息

Haptic Interface Research Laboratory, Purdue University, West Lafayette, Indiana 47907-2035, USA.

出版信息

J Acoust Soc Am. 2009 Jun;125(6):3925-35. doi: 10.1121/1.3124771.

Abstract

This paper presents the design and evaluation of a new controller for a multi-finger tactual display in speech communication. A two-degree-of-freedom controller consisting of a feedback controller and a prefilter and its application in a consonant contrasting experiment are presented. The feedback controller provides stable, fast, and robust response of the fingerpad interface and the prefilter shapes the frequency-response of the closed-loop system to match with the human detection-threshold function. The controller is subsequently used in a speech communication system that extracts spectral features from recorded speech signals and presents them as vibrational-motional waveforms to three digits on a receiver's left hand. Performance from a consonantal contrast test suggests that participants are able to identify tactual cues necessary for discriminating consonants in the initial position of consonant-vowel-consonant (CVC) segments. The average sensitivity indices for contrasting voicing, place, and manner features are 3.5, 2.7, and 3.4, respectively. The results show that the consonantal features can be successfully transmitted by utilizing a broad range of the kinesthetic-cutaneous sensory system. The present study also demonstrates the validity of designing controllers that take into account not only the electromechanical properties of the hardware, but the sensory characteristics of the human user.

摘要

本文介绍了一种用于语音通信中多指触觉显示器的新型控制器的设计与评估。提出了一种由反馈控制器和预滤波器组成的二自由度控制器及其在辅音对比实验中的应用。反馈控制器为指垫界面提供稳定、快速且鲁棒的响应,预滤波器对闭环系统的频率响应进行整形,以匹配人类检测阈值函数。该控制器随后被用于一个语音通信系统,该系统从录制的语音信号中提取频谱特征,并将其作为振动运动波形呈现给接收者左手的三个手指。辅音对比测试的结果表明,参与者能够识别在辅音-元音-辅音(CVC)片段起始位置区分辅音所需的触觉线索。对比浊音、发音部位和发音方式特征的平均敏感度指数分别为3.5、2.7和3.4。结果表明,利用广泛的动觉-皮肤感觉系统可以成功地传递辅音特征。本研究还证明了设计不仅考虑硬件机电特性,还考虑人类用户感官特性的控制器的有效性。

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