自动语音校正:残障人士语音识别的一步

Naim Terbeh, M. Labidi, M. Zrigui
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引用次数: 15

摘要

本文的工作是实现一个阿拉伯语连续语音自动纠错系统。该系统将与残疾人ASR系统相结合。在这项工作中,我们建立了一个包含400万个阿拉伯单词的词典,通过它来判断一个单词是否正确。还需要一个阿拉伯文本语料库,以提供一个标准,总结阿拉伯语中每个双字母(双音素)的出现率。我们的系统的结果是令人鼓舞的,并提出了一个优势,为其他工作的人有发音障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic speech correction: A step to speech recognition for people with disabilities
This work consists on achieve an automatic correction system for Arabic continuous speech. This system will be combined by an ASR system for disabled people. For this work, we built a lexicon of 4.000.000 Arabic words through which decides if a word is correct or not. A corpus of Arabic texts is also required to provide a standard summarizing the appearance rate of each two-letter (two-phoneme) in the Arabic language. The results of our system were encouraging and present an advantage to other work for people with articulatory disabilities.
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