A Survey on ASR Systems for Dysarthric Speech

K. Bharti, P. Das
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引用次数: 1

Abstract

Recently Automatic Speech Recognition (ASR) has been widely overblown with many applications and assistance but orally challenged people, such as people with disordered speech, can’t get much benefits. Speech technologies are very useful on a daily basis to assist people with speech disorders. Dysarthria is a neurological speech disorder caused by significant injury in the left hemisphere of the brain. Dysarthric people have difficulty in the movement of speech-related muscles. As a result of strain on their speech muscles, individuals with dysarthria are able to generate limited speech data for analysis.In order to recognize speech of dysarthria sufferers, a robust technique is needed that can cope with extreme irregularity and narrow training data. This survey details a brief understanding of dysarthric speech characteristics and behavior. It also presents several attempts that have been made to make robust ASR systems for dysarthric speech.
困难言语的ASR系统研究进展
近年来,自动语音识别(ASR)得到了广泛的应用和帮助,但语音障碍人群(如言语障碍人群)却没有得到太多的好处。语音技术在日常生活中非常有用,可以帮助有语言障碍的人。构音障碍是一种神经语言障碍,由大脑左半球的严重损伤引起。患有语言障碍的人在与语言有关的肌肉运动方面有困难。由于他们的语言肌肉紧张,患有构音障碍的人能够产生有限的语音数据进行分析。为了识别构音障碍患者的语音,需要一种强大的技术来应对极端的不规则性和狭窄的训练数据。本调查详细介绍了对语言障碍特征和行为的简要理解。它还提出了一些已经做出的尝试,以使强大的ASR系统为困难言语。
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