A Step-by-Step Process for Building TTS Voices Using Open Source Data and Frameworks for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese
A Step-by-Step Process for Building TTS Voices Using Open Source Data and Frameworks for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese
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使用孟加拉语、爪哇语、高棉语、尼泊尔语、僧伽罗语和巽他语的开源数据和框架构建 TTS 语音的分步过程
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发表时间：
2018
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通讯作者：
Linne Ha
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作者：
Keshan Sanjaya Sodimana;Pasindu De Silva;Supheakmungkol Sarin;Oddur Kjartansson;Martin Jansche;Knot Pipatsrisawat;Linne Ha
语言资源的可用性对文语转换(TTS)系统的发展至关重要。因此，开源资源对于专注于低资源语言的TTS研究社区来说是非常有益的fi。在本文中，我们给出了我们向公众开放的6种低资源语言的数据集。数据集包括孟加拉语、爪哇语、高棉语、尼泊尔语、僧伽罗语和舜达语的音频fiLE、发音词典和音系学defi。这些数据集对于构建这些语言的语音来说是非常有用的。fi。我们还描述了如何使用我们的数据以及开放可用的资源和工具来构建新的TTS语音。
The availability of language resources is vital for the development of text-to-speech (TTS) systems. Thus, open source resources are highly beneficial for TTS research communities focused on low-resourced languages. In this paper, we present data sets for 6 low-resourced languages that we open sourced to the public. The data sets consist of audio files, pronunciation lexicons, and phonology definitions for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese. These data sets are sufficient for building voices in these languages. We also describe a recipe for building a new TTS voice using our data together with openly available resources and tools.