孟加拉语、高棉语、尼泊尔语、爪哇语、僧伽罗语和巽他语文本到语音系统的文本规范化

Keshan Sanjaya Sodimana, Pasindu De Silva, R. Sproat, T. Wattanavekin, Alexander Gutkin, Knot Pipatsrisawat
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引用次数: 6

摘要

文本规范化是将数字和缩写等非标准单词转换为标准单词的过程,以便通过典型方法(通常是词典查找)推导出它们的发音。因此,文本规范化是任何文本到语音(TTS)系统的重要组成部分。如果没有文本规范化,生成的声音可能听起来很不智能。在本文中,我们描述了一种开发基于规则的文本规范化的方法。我们还描述了包含孟加拉语、爪哇语、高棉语、尼泊尔语、僧伽罗语和巽他语文本规范化语法和测试的开源存储库。最后,我们给出了在TTS系统中使用语法的方法。
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Text Normalization for Bangla, Khmer, Nepali, Javanese, Sinhala and Sundanese Text-to-Speech Systems
Text normalization is the process of converting non-standard words (NSWs) such as numbers, and abbreviations into standard words so that their pronunciations can be derived by a typical means (usually lexicon lookups). Text normalization is, thus, an important component of any text-to-speech (TTS) system. Without text normalization, the resulting voice may sound unintelligent. In this paper, we describe an approach to develop rule-based text normalization. We also describe our open source repository containing text normalization grammars and tests for Bangla, Javanese, Khmer, Nepali, Sinhala and Sundanese. Fi-nally, we present a recipe for utilizing the grammars in a TTS system.
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