A flexible front-end for HTS
A flexible front-end for HTS
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DOI：
10.21437/interspeech.2014-320
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发表时间：
2014
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通讯作者：
M. Aylett;R. Dall;Arnab Ghoshal;G. Henter;Thomas Merritt
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作者：
M. Aylett;R. Dall;Arnab Ghoshal;G. Henter;Thomas Merritt
参数语音合成技术依赖于语言前端生成的全语境声学模型，该模型分析语言和语音结构。HTS是领先的参数合成系统，可以使用许多不同的前端来生成用于合成和训练的完整上下文模型。在这篇文章中，我们探索了一种新的文本处理前端的使用，该前端已经添加到语音识别工具包Kaldi中，作为正在进行的产生新的参数语音合成系统IDLAK的项目的一部分。使用XML规范文件、模块化设计以及现代编码和测试方法，使IDLAK前端成为添加、更改和试验全背景声学模型中使用的背景的理想之选。IDLAK前端是根据HTS系统中的标准节日前端进行评估的。来自Idlak前端的结果与更成熟的节日前端(Idlak 2.83MOS vs.节日-2.85MOS)相比很好，尽管非英语母语者感觉到的自然度略有下降，这可以归因于节日插入了无标点符号的停顿。索引词：语音合成、文本处理、参数合成、卡尔迪语、伊德拉克
Parametric speech synthesis techniques depend on full context acoustic models generated by language front-ends, which analyse linguistic and phonetic structure. HTS, the leading parametric synthesis system, can use a number of different front-ends to generate full context models for synthesis and training. In this paper we explore the use of a new text processing front-end that has been added to the speech recognition toolkit Kaldi as part of an ongoing project to produce a new parametric speech synthesis system, Idlak. The use of XML specification files, a modular design, and modern coding and testing approaches, make the Idlak front-end ideal for adding, altering and experimenting with the contexts used in full context acoustic models. The Idlak front-end was evaluated against the standard Festival front-end in the HTS system. Results from the Idlak front-end compare well with the more mature Festival front-end (Idlak 2.83 MOS vs Festival - 2.85 MOS), although a slight reduction in naturalness perceived by non-native English speakers can be attributed to Festival’s insertion of non-punctuated pauses. Index Terms: speech synthesis, text processing, parametric synthesis, Kaldi, Idlak