模拟词汇音调用于扬声器歧视
Ricky K W Chan1, Bruce Xiao Wang2
1Speech, Language and Cognition Laboratory, School of English, The University of Hong Kong, Hong Kong.
Language and speech
|July 27, 2024
概括
这项研究比较了在演讲中模拟词汇语调的方法,以进行演讲者歧视. 离散的等号变换 (DCT) 和多项式曲线拟合显示了扬声器识别的有希望的结果,优于定量目标近似 (qTA).
科学领域:
- 语音学 语音学 语音学
- 语音科学 语言科学
- 法医语言学 法医语言学
背景情况:
- 基本频率 (F0) 对于语音区分至关重要,但研究往往忽略了动态的词汇语调.
- 现有的分析音调F0的方法缺乏标准化的参数化,以实现最佳的扬声器区分.
研究的目的:
- 为了比较扬声器对三种词汇音调建模方法的区分性表现:离散的等号变换 (DCT),多项式曲线拟合和定量目标近似 (qTA).
- 确定使用音调F0在扬声器识别和法医语音比较中最有效的参数化方法.
主要方法:
- 使用离散等边变换 (DCT) 来进行特征提取的词汇音调建模.
- 使用多项式曲线适配用于特征提取的词汇音调建模.
- 使用定量目标近似 (qTA) 来进行特征提取的词汇音调建模.
- 在三种建模技术中对扬声器歧视性表现的比较分析.
主要成果:
- 来自DCT和多项式曲线拟合的参数显示了可比且有前途的扬声器区分性能.
- 从定量目标近似 (qTA) 获得的参数通常会产生明显较差的扬声器歧视结果.
- 该研究强调了DCT和多项式方法在捕获语言结构F0动态以识别说话者的有效性.
结论:
- DCT和多项式曲线拟合是模拟表面音调F0用于扬声器区分的有效方法.
- 与DCT和多项式方法相比,qTA不太适合用于扬声器区分任务.
- 进一步的研究应该探索这些发现对理解说话者识别中的发音过程的影响.
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