基于规则方法的印尼语文本到语音(TTS)文本规范化:数据集和初步研究

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI:10.1109/ic2ie53219.2021.9649417

Nana Mulyana Maghfur, Muhammad Okky Ibrohim, Junaedi Fahmi, Achmad Satria Putera, Oskar Riandi

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引用次数: 1

摘要

文本到语音(TTS)是目前广泛用于学术/非商业和工业/商业目的的几种技术。在一些情况下，一些研究人员在TTS领域增加了一个文本规范化过程，将文本规范化用于TTS输入，以提高TTS本身的性能。在本文中，我们提出了一种基于规则的方法来制作具有原始文本和口语形式的印尼语文本规范化数据集，以增强印尼语文本到语音(TTS)的性能。我们执行了一组基于规则的规则，用于规范化作为TTS系统输入的印度尼西亚文本。使用这些基于规则的方法，我们生成了一个数据集，并手动对其进行校正，这样我们就有了印尼语TTS输入文本规范化的黄金标准。我们的方法表明，基于规则的方法可以在0.0805的单词错误率(WER)下为印尼语TTS文本规范化提供良好的性能。

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Text Normalization for Indonesian Text-to-Speech (TTS) using Rule-Based Approach: A Dataset and Preliminary Study

Text-to-Speech (TTS) is a technology that is currently widely used for several purposes both for academic/ non-commercial and industry/commercial purposes. In several cases, some researchers on the TTS field adding a text normalization process for normalizing text that will be used for TTS input to enhance the TTS performance itself. In this paper, we present a rule-based approach to make an Indonesian text normalization dataset that has a raw text and a spoken form of it for enhancing Indonesian Text-to-Speech (TTS) performance. We conduct a set of rule-based for normalizing Indonesian text as an input for the TTS system. Using those rule-based, we generated a dataset and correct it manually so that we have a gold standard for text normalization for Indonesian TTS input. Our approach shows a rule-based can give a good performance for normalizing text for Indonesian TTS with 0.0805 of Word Error Rate (WER).

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2021 4th International Conference of Computer and Informatics Engineering (IC2IE)

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