在Mixtec的自发言语中,极端的停止音:数据,单词音和建模
Christian DiCanio1,2, Wei-Rong Chen2, Joshua Benn1
1Department of Linguistics, University at Buffalo, Buffalo NY 14260, USA.
概括
在Yoloxóchitl Mixtec中,辅音经历了变化,特别是在单词中介前音位,显示了增加的发音和持续时间. 这项研究还使用深度神经网络来模拟这些声学模式.
科学领域:
- 语音学和语音学 语音学和语音学
- 语言人类学语言人类学.
- 计算语言学 计算语言学
背景情况:
- 单词级别的散音会影响和音符的变化,通常会加强初始和音符,削弱中间的和音符.
- 墨西哥一门临灭绝的语言Yoloxóchitl Mixtec在无声辅音中表现出显著的缓慢性,即使在谨慎的说话中也是如此.
研究的目的:
- 为了研究Yoloxóchitl Mixtec中词-prosodic位置和阻碍 lenition之间的关系.
- 分析辅音的持续时间,发音和发音方式,与prosodic上下文相关.
- 开发用于预测缩模式的计算模型.
主要方法:
- 对Yoloxóchitl Mixtec. 的一个自发语音群体的分析.
- 检查辅音持续时间,被动发音和发音方式.
- 深度神经网络用于模式建模和分类的应用.
主要成果:
- 词中介前音位被确定为辅音延长和缩小发音的主要位置.
- 非前音元音的辅音表现出更大的发音和更短的持续时间.
- 形态函数的功能状态影响发音的缓和;单词介质前音调停显示出比非前音调停更完整的闭合.
结论:
- 这项研究证实了在Yoloxóchitl Mixtec中驱动辅音音的特定的音位置.
- 这些发现与更广泛的语音声学研究相一致,并提供了分析的计算工具.
- 这项研究有助于理解危语言,并开发语音过程的预测模型.
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