An Intelligent System for Conversion of Bangla Sign Language into Speech

Shuvashis Sarker, M. M. Hoque
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引用次数: 6

Abstract

Bangla sign language conversion into speech is a key to help vocally impaired people to express their feelings easily. In this wok, we develop a pair of smart gloves with sensors and microcontroller that can convert Bangla sign language into Bangla speech. Flex sensors are used to measure the bending of fingers, accelerometer and gyroscope sensor are used to measure hand position and movements. Filter these data and send it to PC over Bluetooth. The system manipulate the value string and dynamically match it with database to find out the corresponding word's sound track which is play on speakers. On-board experiments demonstrate the effectiveness of the approach. The proposed system is evaluated with 8 people with 248 samples of 72 words. Experimental results show that the system is functioning well and can detect the sign language with 99.5% accuracy. The user can change the pronunciation of words with the variations of tense and pronoun in Bangla sentences.
孟加拉语手语语音智能转换系统
孟加拉手语转化为语言是帮助有听觉障碍的人轻松表达情感的关键。在本工作中,我们开发了一副带有传感器和微控制器的智能手套,可以将孟加拉语手语转换为孟加拉语语音。弯曲传感器用于测量手指的弯曲,加速度计和陀螺仪传感器用于测量手的位置和运动。过滤这些数据并通过蓝牙发送到PC。系统对该值字符串进行处理,并与数据库动态匹配,找出相应的词在扬声器上播放的音轨。机载实验证明了该方法的有效性。该系统由8个人、248个样本、72个单词进行评估。实验结果表明,该系统运行良好,对手语的检测准确率达到99.5%。在孟加拉语句子中,用户可以通过时态和代词的变化来改变单词的发音。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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