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耶姆巴语音 (YembaTones):一个音节音调注释的数据集,用于对耶姆巴语的语音识别和语音分析
Marc Sturm Kenfack Jeuguim1, Paulin Melatagia Yonta1,2, Etienne Sandembouo3
1Department of Computer Science, University of Yaounde I, Yaounde, Cameroon.
Data in brief
|December 28, 2023
概括
这项研究介绍了YembaTones,这是Yemba的新数据集,这是一个音调语言. 此资源有助于低资源语言的语音识别和语音合成.
科学领域:
- 语言学的语言学.
- 语音技术 语言技术
- 语音学 语音学 语音学
背景情况:
- 在像Yemba这样的音调语言中,语音对意义和语法至关重要.
- 音色语言,尽管有很多说者,但往往缺乏语音识别和合成资源.
- 叶姆巴语,在喀麦隆,面临着数字工具的稀缺性,因为它的音色性质.
研究的目的:
- 介绍YembaTones,这是Yemba语言的语音和音调注释数据集.
- 为培训和评估音调检测模型提供资源.
- 支持音调,低资源语言的自动语音识别和语音合成.
主要方法:
- 创建了一个由344个Yemba/法语单词组成的词典,它们的音调不同.
- 记录了11名Yemba母语使用者的发音.
- 使用Audacity和Praat. 清理,分割和注释了3420个音频文件,用于节目和音调信息.
主要成果:
- 开发了YembaTones,这是一个独特的数据集,带有语法和音调注释.
- 数据集包括3420个孤立的Yemba单词的高质量音频文件.
- 注释涵盖了字节结构和音调轮.
结论:
- 耶姆巴语音 (YembaTones) 是促进音调语言研究的宝贵资源.
- 该数据集促进了自动语音检测,语音识别和合成的发展.
- 它支持研究的prosody,Yemba语音学,语音声学,和语音语言学.
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