Design and implementation of a Luganda text normalization module for a speech synthesis software program

IF 1 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Ronald Kizito;Wayne S. Okello;Sulaiman Kagumire
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引用次数: 2

Abstract

This paper describes a Luganda text normalization module, a crucial component needed for a Luganda Text to Speech system. We describe the use of a rule-based approach for detection, classification and verbalization of Luganda text. At the core of this module are the Luganda grammar rules that were hand-built to normalize Non-Standard Words (NSWs) from different semiotic and noun classes. Input text is first analyzed, matched against handcrafted patterns developed using regular expressions to detect any NSWs. Upon detection, NSWs are tokenized and classified into one of the semiotic classes and then if necessary, into one of the Luganda noun classes. These are subsequently verbalized, each according to its semiotic as well as noun class, and a new text file is produced. We tested the module with 7 datasets and achieved average detection and normalization rates of 82% and 77.7% respectively.
语音合成软件程序中Luganda文本规范化模块的设计与实现
本文描述了一个卢甘达文本规范化模块,它是卢甘达语音转换系统所需的关键组件。我们描述了使用基于规则的方法对卢甘达文本进行检测、分类和动词化。该模块的核心是Luganda语法规则,这些规则是手工构建的,用于规范来自不同符号和名词类的非标准词。首先对输入文本进行分析,并根据使用正则表达式开发的手工模式进行匹配,以检测任何NSW。在检测到NSW时,将其标记化并分类到一个符号类中,然后在必要时,分类到卢甘达名词类中。随后,根据其符号学和名词类对这些内容进行言语化,并生成一个新的文本文件。我们用7个数据集测试了该模块,平均检测率和归一化率分别为82%和77.7%。
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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来源期刊
SAIEE Africa Research Journal
SAIEE Africa Research Journal ENGINEERING, ELECTRICAL & ELECTRONIC-
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29
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