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Modification to correct distortions in stops of dysarthrie speech using TMS320C6713 DSK

机译:使用TMS320C6713 DSK进行修改以纠正dysarthrie语音停止时的失真

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Communication is a bridge between people which enables them to share facts, ideas, feelings etc. with each other. Speech communication is easier and simpler compared to other types of communication. But speech disorders affect one's ability to communicate. Dysarthria is a neuro-motor disorder, where one losses his/her ability to articulate words normally due to tongue/muscle weakness or stroke etc. It results in distorted speech which is hard to understand. Dysarthria affect more on the articulation of consonants (stops in particular) than on the articulation of vowels. Intelligibility varies greatly depending on the extent of neurological damage. As consonants are important than vowels in measuring the intelligibility, distortions in consonant production of dysarthric speech are studied and modifications are performed. This work aims at correcting devoicing of voiced stop (voiced stops are pronounced as unvoiced stops with the same place of articulation) by detecting important time instants such as glottal onset, glottal offset and burst onset thereby modifying the distortions in dysarthric speech using TMS320C6713 DSK with CC Studio 5.5. After the dysarthric speech has been recorded on the DSK 6713 processor modification is done to improve its intelligibility. Two databases were used in the experiment such as Universal Access (UA) database and Torgo database. Out of 65 bursts expected from UA database and 128 bursts expected from Torgo database, 84.6% and 82.81% bursts were detected correctly within 0.3 s intervals respectively.
机译:沟通是人与人之间的桥梁,使他们能够彼此分享事实,想法,感受等。与其他类型的通信相比,语音通信更容易,更简单。但是言语障碍会影响一个人的沟通能力。构音障碍是一种神经运动障碍,通常由于舌头/肌肉无力或中风等原因而使他/她的单词发音能力丧失。它导致言语失真,难以理解。构音障碍对辅音(尤其是音节)的发音比对元音的发音影响更大。可懂度根据神经损伤程度的不同而有很大差异。由于辅音在测量清晰度方面比元音重要,因此研究了构音障碍语音的辅音产生中的失真并进行了修改。这项工作旨在通过检测重要的时间点(例如声门发作,声门偏移和爆发发作)来纠正浊音停止音(浊音停止在相同的发音位置发音为浊音停止),从而使用TMS320C6713 DSK修改构音障碍语音的失真。 CC Studio 5.5。在DSK 6713上记录了发音异常的语音之后,对处理器进行了修改以提高其清晰度。实验中使用了两个数据库,例如通用访问(UA)数据库和Torgo数据库。在UA数据库预期的65个突发和Torgo数据库预期的128个突发中,分别在0.3 s的间隔内正确检测到84.6%和82.81%的突发。

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