数据说明
语言={ES, FR, GE, IT, UK, US} 的六种可能的口音X1，X2，...，X12使用MFCC在原始时域音轨上获得最大1秒的读音一句话
数据来源
https://archive.ics.uci.edu/ml/datasets/Speaker+Accent+Recognition#
引文
If you publish material based on databases obtained from this repository, then, in your acknowledgements, please note the assistance you received by using this repository. This will help others to obtain the same data sets and replicate your experiments. We suggest the following pseudo-APA reference format for referring to this repository:
Fokoue, E. (2020). UCI Machine Learning Repository [[Web Link]]. Irvine, CA: University of California, School of Information and Computer Science.
Here is a BiBTeX citation as well:
@misc{Fokoue:Ernest:Data:2020:2,author = 'Fokoue, E.',year = '2020',title = '{UCI} Machine Learning Repository',url = '[Web Link]',institution = 'University of California, Irvine, School of Information and Computer Sciences' }