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Glottal source related to stressed speech under workload in human-robot interface

Xiao Yao, Ning Xu, Yuxing Gu, Xuewu Zhang, Aiming Jiang, Xiaofeng Liu

发表年份
2017
引用次数
2

摘要

In human-robots interfaces studies have shown that stress caused by these factors results in variations in speaker's pronunciation, making highly reliable speech recognition systems of interface difficult to achieve. In this paper, we focus on the glottal source of stress speech under workload condition. The glottal flow resulted from vibration of the vocal folds is mainly discussed and features derived from glottal source are investigated to separate stressed speech from neutral speech. Experimental results show the proposed features representing glottal source could be able to lead to improvements in classification for the stressed speech.

关键词

Speech recognitionComputer scienceWorkloadPronunciationFocus (optics)Interface (matter)Stress (linguistics)RobotSpeech processingArtificial intelligence

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