巨大的KTTS数据集:为库尔德语文本转音系统构建一个广泛的巨大的数据集
Hawraz A Ahmad1, Tarik A Rashid2
1Department of Software and Informatics Engineering, Salahaddin University-Erbil, Erbil, KR, Iraq.
Data in brief
|August 16, 2024
概括
本研究介绍了库尔德语文本转化语音数据集 (KTTS,巨人),这是中央库尔德语语音合成的宝贵资源. 它解决了库尔德语语言缺乏语音识别工具的问题,使得文字转化为语音系统的改进成为可能.
科学领域:
- 计算语言学 计算语言学
- 语音技术 语言技术
- 语料库语言学 语料库语言学
背景情况:
- 语音合成是现代计算不可或缺的一部分.
- 由于缺乏资源和工具,库尔德语语言的开发有效的语音系统受到阻碍.
- 现有的挑战包括培训效率,建模困难和有限的文本/语音识别能力.
研究的目的:
- 为中库尔德语方言构建一个全面的语音库.
- 开发库尔德语文本转化语音数据集 (KTTS,巨人) 拥有大量的词汇,发音词典和语音数据.
- 促进库尔德语文本转音技术的发展.
主要方法:
- 库尔德语文本转化语音数据集 (KTTS,巨人) 的大词汇汇汇编.
- 包括发音词典和中央库尔德语方言的语音集.
- 在专业的工作室环境中使用高质量的麦克风记录了12个文档主题中的6078个句子.
- 总录制时间为13.63小时,以 .wav 格式.
主要成果:
- 创建了KTTS,巨大的数据集,是中部库尔德语语音合成的重要资源.
- 数据集包括6,078个被记录的句子,总持续时间为13.63小时.
- 数据采集使用专业录音设备在受控的工作室环境中收集.
结论:
- KTTS,巨大的数据集为开发中库尔德语方言的先进文本转换语音系统提供了坚实的基础.
- 该资源旨在克服库尔德语语音技术中的现有障碍.
- 该语料库准确地反映了现实世界中库尔德语方言数据,促进了该领域的研究和开发.
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