面部肌肉活动识别元音发音的可靠性

G. Naik, D.K. Kumar, S. Arjunan
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引用次数: 2

摘要

本文评估了一个人在不发音(不发音)元音时使用肌肉激活的可靠性,并报告了在几天内重复实验的研究。表面肌电图已被用作肌肉活动的指标,独立成分分析(ICA)已被用于分离不同肌肉的电活动。结果表明,在重复实验时,相应肌肉的肌肉活动之间存在一定的合理关系。研究结果还表明,以不同的语速说出相同的声音会有不同的变化。这可能是由于在发出相同声音时缺乏音频反馈。这一分析将有助于面部肌电图(sEMG)用于语音分析的研究,这被认为是运动障碍患者潜在的人机界面(HCI)。
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Reliability of facial muscle activity to identify vowel utterance
This paper evaluates the reliability of the use of muscle activation during unuttered (silent) vowel by an individual and reports the study of repeating of the experiments over several days. Surface electromyogram has been used as an indicator of muscle activity and independent component analysis (ICA) has been used to separate the electrical activity from different muscles. The results demonstrate that there is dasiareasonablepsila relationship between muscle activities of the corresponding muscles when the experiments are repeated. The results also indicate that there is a variation when the same sound is spoken at different speeds of utterances. This can be attributable to the lack of audio feedback when the same sound is uttered. This analysis will be useful for the research undertaking facial surface electromyography (sEMG) for speech analysis, which is being considered as a potential human computer interface (HCI) for people suffering from motor disabilities.
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