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A Rule Based System for Bangla Voice and Text to Bangla Sign Language Interpretation

机译:孟加拉语音和文本的基于规则的制度,到Bangla手语解释

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It is very difficult in Bangladesh to make communication between Sign and Non-Sign people even though in the entire world because most of the Non-Sign people do not understand the Sign language. To create effective communication between Sign and Non-Sign people, we have proposed a rule-based system for Bangla Voice and text to Bangla sign language interpretation. Voice and Bangla Text are taken as input by the proposed method and this input text is parsed based on Bangla linguistics. After parsing, the system links and displays the signs with the corresponding trained animated Bangla Signs. The 2D animation for the model is trained with 14 animated Bangla Numeral Signs (0-9, Hundred, Thousand, Lakh, Core). The system is being evaluated using 100 different lengths of Bangla Composite Numeral. The system achieves the interpretation average accuracy of 96.03% for voice, 100% for Bangla Text as the input of Bangla Composite Numeral, and Bangla Sentences with a computation cost of 9.5ms per sign.
机译:孟加拉国非常困难,即使在整个世界中,签名和非签名人之间的沟通,因为大多数非符号人都不理解手语。为了在符号和非签名人之间创建有效的沟通,我们提出了一个基于规则的孟加拉语音和文本的制度,到Bangla手语解释。语音和BANGLA文本被提出的方法作为输入,并根据BANGLA语言学解析此输入文本。解析后,系统链接并显示相应培训的动画孟加拉标志的标志。模型的2D动画培训,有14个动画的孟加拉数字标志(0-9,百万,Lakh,核心)。使用100个不同长度的Bangla综合数字进行评估系统。该系统对语音的解释平均准确性为96.03%,孟加拉文本的100%作为Bangla综合数字的输入和孟加拉句,计算成本为9.5ms。

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