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人类发声行为的实验分析:语音识别技术的应用

Experimental analysis of human vocal behavior: applications of speech-recognition technology.

作者信息

Wirth O, Chase P N, Munson K J

机构信息

West Virginia University, USA.

出版信息

J Exp Anal Behav. 2000 Nov;74(3):363-75. doi: 10.1901/jeab.2000.74-363.

Abstract

Recent developments in speech recognition make it feasible to apply the technology to study vocal behavior. The present study illustrates the use of this technology to establish functional stimulus classes. Eight students were taught to say nonsense words in the presence of arbitrarily assigned sets of symbols consistent with three three-member experimenter-defined stimulus classes. Computer-controlled speech-recognition software was used to record, analyze, and differentially reinforce vocal responses. When the stimulus classes were established, students were taught to say a new nonsense word in the presence of one member of each stimulus class. Transfer of function was tested subsequently to determine if the novel stimulus names transferred to the remaining stimulus class members. Most subjects required two iterations of the training and testing procedures before transfer occurred. The data illustrate the usefulness of recording vocal behavior during stimulus control procedures and demonstrate the use of speech-recognition technology. The paper also describes the current state of speech-recognition technology and suggests several other areas of research that might benefit from using vocal behavior as its primary datum.

摘要

语音识别技术的最新进展使得将该技术应用于研究发声行为成为可能。本研究展示了如何使用该技术来建立功能性刺激类别。八名学生被教导在与实验者定义的三个包含三个成员的刺激类别相一致的任意分配的符号集出现时说出无意义的单词。使用计算机控制的语音识别软件来记录、分析和差异化强化发声反应。当刺激类别建立后,教导学生在每个刺激类别的一个成员出现时说出一个新的无意义单词。随后测试功能转移,以确定新的刺激名称是否转移到其余的刺激类别成员。大多数受试者在功能转移发生之前需要进行两轮训练和测试程序。数据说明了在刺激控制程序中记录发声行为的有用性,并展示了语音识别技术的应用。本文还描述了语音识别技术的当前状态,并提出了其他几个可能受益于将发声行为作为主要数据的研究领域。

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