Implementation of Concatenation Technique for Low Resource Text-To-Speech System Based on Marathi Talking Calculator

Monica R. Mundada, Sangramsing Kayte, P. Das
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Abstract

The indulgent acquaintance of mathematical basic concepts creates the pavement for numerous opportunities in life for every individual, including visually impaired people. The use of assertive technology for the disabled section of the society makes them more independent and avoid barriers in the field of education and employment. This research is focused to design an Android-based application i.e. talking Calculator for low resource based Marathi native language. The novelty of this work is to develop both, the application and the Marathi number corpus. Marathi is an Indo-Aryan language spoken by approximately 6.99 million speakers in India, which is the third widely spoken language after Bengali and Telugu but as they lack in linguistic resources, e.g. grammars, POS taggers, corpora, it falls into the category of low resource languages. The front end part of the application depicts the screen of a basic calculator with numerals displayed in Marathi. During runtime, each number is spoken as the specific key is pressed. It also speaks out the operation which is intended to be performed. The concatenation synthesis technique is applied to speak out the value of decimal places in the output number. The result is spoken out with proper place value of a digit in Marathi. The performance of the system is measured to the accuracy rate of 95.5%. The average run time complexity of the application is also calculated which is noted down to 2.64 sec. The feedback and review of the application is also taken from real end-user i.e. blind people.
基于马拉地语语音计算器的低资源文本转语音系统级联技术实现
对数学基本概念的深入了解为每个人的生活创造了无数的机会,包括视障人士。为社会的残疾阶层使用自信的技术使他们更加独立,避免了在教育和就业领域的障碍。本研究的重点是设计一个基于android的应用程序,即基于低资源的马拉地语母语的说话计算器。这项工作的新颖之处在于同时开发了应用程序和马拉地语数字语料库。马拉地语是一种印度-雅利安语言,在印度大约有699万人使用,是仅次于孟加拉语和泰卢固语的第三种广泛使用的语言,但由于缺乏语言资源,例如语法、词性标注器、语料库,马拉地语属于低资源语言。应用程序的前端部分描绘了一个基本计算器的屏幕,其中用马拉地语显示数字。在运行期间,当按下特定的键时,会说出每个数字。它还指出要执行的操作。采用串联合成技术读出输出数中小数点后的值。结果用马拉地语用正确的位值表示出来。经测试,该系统的准确率达到95.5%。应用程序的平均运行时间复杂度也被计算到2.64秒。应用程序的反馈和审查也来自真正的最终用户,即盲人。
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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