孟加拉语文本到语音转换的语音合成

M. Y. Arafat, Sanjana Fahrin, Md Jamirul Islam, Md Ashraf Siddiquee, Afsana Khan, Mohammed Rokibul Alam Kotwal, M. N. Huda
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引用次数: 6

摘要

本文阐述了在不使用任何第三方语音合成工具的情况下,从非常原始的层面设计和实现孟加拉语文本到语音(TTS)系统。为了构建系统,我们考虑了两个方向,一个是基于音素的,另一个是基于音节的。在本研究中,我们提出的系统分为几个阶段。在第一阶段,为每个孟加拉语音素和孟加拉语25万个音节中的3000个音节录制音频,然后减少噪音以获得每个音素和音节的高质量声音。第二阶段搜索输入文本中最长的音节匹配,如果没有,则搜索与相应字素匹配的音素。为了进一步改进,我们还增加了需要单独处理的复杂连词。实验表明,基于音节的方法比基于音素的方法为输入文本提供了更好的语音质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speech synthesis for Bangla Text to Speech conversion
This paper illustrates the design and implementation of Bangla (widely used as Bengali) Text to Speech (TTS) system from the very raw level without using any third party speech synthesis tool. For constructing the system we have considered two directions, where one is based on phoneme and another one is on syllable. In this study, our proposed system comprises some stages. At first stage audio sounds are recorded for each of the Bangla phonemes and three thousand out of 250000 syllables in Bangla, and then noise is reduced to obtained high quality sounds for each phoneme and syllable. Second stage searches for longest possible matching of the syllables if it is available in the input text, and if not, then searches for the phonemes to match with the corresponding graphemes. For further improvement, we also added the complex conjuncts which need to be handled separately. It is observed from the experiments that the syllable based method provides the better quality speech for the input text in comparison with the method based on phoneme.
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