A rule-based approach to generating large phonetic databases for Romanian results of the AFLR project

2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD) Pub Date : 2017-07-01 DOI:10.1109/SPED.2017.7990439

S. Diaconescu, Monica-Mihaela Rizea, M. Ionescu, A. Minca, Monica Radulescu

引用次数: 0

Abstract

This paper presents a rule-based approach for generating a large phonetic database for Romanian. The knowledge base is developed by means of the GRAALAN (Grammar Abstract Language) system. By inspecting dictionaries and corpora, we generate a phonetic database over 100,000 lemmas. Our database has a high degree of accuracy ensured by our rule-based method applied for generating phonetic transcriptions.

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为AFLR项目的罗马尼亚语结果生成大型语音数据库的基于规则的方法

本文提出了一种基于规则的方法来生成一个大型罗马尼亚语语音数据库。该知识库采用GRAALAN(语法抽象语言)系统开发。通过检查字典和语料库，我们生成了一个超过10万个引词的语音数据库。我们的数据库具有高度的准确性，我们的基于规则的方法用于生成语音转录。

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

2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)

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