一本实用指南,用于计算声道长度和尺度不变的形式模式
Andrey Anikin1,2, Santiago Barreda3, David Reby4,5
1Division of Cognitive Science, Department of Philosophy, Lund University, Box 192, SE-221 00, Lund, Sweden. andrey.anikin@lucs.lu.se.
Behavior research methods
|December 29, 2023
概括
本研究介绍了分析语音和动物声音中的声道共振 (形式) 的工具. 它提供了估计声道长度和创建规模不变的形式模式的方法,改善了各种研究领域的声学分析.
科学领域:
- 生物声学是一种生物声学.
- 语音学 语音学 语音学
- 动物沟通动物沟通
背景情况:
- 形式 (声道共振) 对于语音分析和行为科学研究至关重要.
- 估计声道长度和创建规模不变的形式模式是关键的挑战.
研究的目的:
- 提出一个理论框架和实践工具,用于对形式的声学分析.
- 提供开源软件解决方案,用于形式测量和规范化.
- 为了提高声道长度估计和尺度不变表示的准确性.
主要方法:
- 使用R包的声音和音频工具用于声学分析.
- 使用formant_app进行整合的formant注释和校正.
- 实施内在 (变量比,几何平均值) 和外在 (平均,混合模型) 规范化方法.
- 使用estimateVTL函数进行声道长度估计和尺度不变母音空间计算.
主要成果:
- 自动形式测量可能容易出错;建议进行手动校正.
- 内在规范化方法提供了简单的尺度不变表示.
- 外在规范化方法通过汇集数据,提供更准确的规模因子估计.
- 通过示例数据集和R代码证明了实际应用.
结论:
- 准确的形式分析需要仔细的测量和适当的规范化技术.
- 推的做法包括记录多个发音,测量至少四个形式,手动验证和使用合适的统计工具.
- 提供的工具和框架增强了跨学科的声道声学研究.
相关概念视频
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