在语音信封上,在语音的皮质跟踪中,语音的皮质跟踪
Mohamed F Issa1, Izhar Khan2, Manuela Ruzzoli3
1BCBL, Basque Center on Cognition, Brain and Language, San Sebastian, Spain; Department of Scientific Computing, Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt.
NeuroImage
|June 17, 2024
概括
通过比较用于皮质语音跟踪 (CTS) 的语音外提取方法,可以发现光过器银行方法提供了卓越的性能. 这一发现有助于研究人员选择最佳的分析技术,以了解大脑中的语音处理.
科学领域:
- 神经科学是一个神经科学.
- 听觉神经科学 听觉神经科学
- 语音处理 语音处理
背景情况:
- 语音的皮层跟踪 (CTS) 将神经活动与语音外同步,这对于听觉处理至关重要.
- 选择的外包提取方法显著影响CTS测量和解释.
- 缺乏标准化的方法阻碍了语音神经科学中的一致分析.
研究的目的:
- 系统地比较五种标准的信封提取方法对CTS的影响.
- 在不同语音条件下使用内EEG,MEG和EEG数据来评估方法性能.
- 为在CTS研究中选择最佳分析技术提供指导.
主要方法:
- 五种信封提取方法的系统比较:希尔伯特变换 (absHilbert) 的绝对值,光谱波器银行,启发式方法,巴克尺度和语音能量.
- 在清晰和杂的环境中听话的参与者的大脑活动 (内EEG,MEG,EEG) 的分析.
- 基于在10Hz以下观察到的皮层语音跟踪 (CTS) 的表现评估.
主要成果:
- 在所有数据集和方法中,在时间大脑区域低于10 Hz的区域观察到显著的CTS.
- 马过池方法始终优于其他经过测试的外提取技术.
- 结果突出了CTS分析中依赖于方法的变化,强调了方法选择的重要性.
结论:
- 建议采用色波器银行方法来进行强大而可靠的皮质语音跟踪 (CTS) 分析.
- 有信息的方法选择对于促进语言处理中神经元机制的理解至关重要.
- 这项研究为未来的听觉神经科学和语音感知研究提供了必要的基准.
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