Formant Frequencies under Cognitive Load: Effects and Classification
Formant Frequencies under Cognitive Load: Effects and Classification
复制标题
认知负荷下的共振峰频率：效应和分类
DOI：
10.1155/2011/219253
复制
发表时间：
2011
影响因子：
1.9
通讯作者：
E. Choi
中科院分区：
文献类型：
--
作者：
T. Yap;J. Epps;E. Ambikairajah;E. Choi
认知负荷测量系统测量人类在执行认知任务时所经历的心理需求，这对于监测和提高任务绩效是有用的。各种基于语音的认知负荷分类系统已经被提出，但认知负荷对语音产生系统的影响仍然没有得到很好的理解。在这项工作中，我们研究了共振峰频率在不同的负载条件下，利用共振峰频率为基础的自动认知负荷分类的功能。我们发现，元音共振峰轨迹的斜率，分散度和持续时间表现出不同的负载条件下的变化，斜率和持续时间被发现是有用的功能，在元音为基础的分类。此外，在两个不同的数据库上评估的2类和3类基于话语的分类结果表明，基于帧的共振峰特征的性能与基线MFCC特征相当，如果不是更好的话。
Cognitive load measurement systems measure the mental demand experienced by human while performing a cognitive task, which is useful in monitoring and enhancing task performance. Various speech-based systems have been proposed for cognitive load classification, but the effect of cognitive load on the speech production system is still not well understood. In this work, we study formant frequencies under different load conditions and utilize formant frequency-based features for automatic cognitive load classification. We find that the slope, dispersion, and duration of vowel formant trajectories exhibit changes under different load conditions; slope and duration are found to be useful features in vowel-based classification. Additionally, 2-class and 3-class utterance-based classification results, evaluated on two different databases, show that the performance of frame-based formant features was comparable, if not better than, baseline MFCC features.