Analyzing Speech Quality Perception Using Electroencephalography

被引:52
作者
Antons, Jan-Niklas [1 ]
Schleicher, Robert [1 ]
Arndt, Sebastian [1 ]
Moeller, Sebastian [1 ]
Porbadnigk, Anne K. [2 ,3 ]
Curio, Gabriel [4 ]
机构
[1] Berlin Inst Technol, Qual & Usabil Lab, D-10587 Berlin, Germany
[2] Berlin Inst Technol, Machine Learning Lab, D-10587 Berlin, Germany
[3] Bernstein Ctr Computat Neurosci Berlin, Grad Sch Sensory Computat Neural Syst GRK 1589, D-10099 Berlin, Germany
[4] Charite Univ Med Berlin, Dept Neurol & Clin Neurophysiol, D-12200 Berlin, Germany
关键词
Electroencephalography (EEG); perception; processing; speech quality; MISMATCH NEGATIVITY; EEG; COMPONENT; ERP;
D O I
10.1109/JSTSP.2012.2191936
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Common speech quality evaluation methods rely on self-reported opinions after perceiving test stimuli. Whereas these methods-when carefully applied-provide valid and reliable quality indices, they provide little insight into the processes underlying perception and judgment. In this paper, we analyze the performance of electroencephalography (EEG) for indicating different types of degradations in speech stimuli. We show that a certain EEG technique, event-related-potentials (ERP) analysis, is a useful and valid tool in quality research. Three experiments are reported which show that quality degradations can be monitored in conscious and presumably non-conscious stages of processing. Potential and limitations of the approach are discussed and lines of future research are drawn.
引用
收藏
页码:721 / 731
页数:11
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