학술논문

Perception of non-native phoneme contrasts in 8-13 months infants: tensor-based analysis of EEG signals
Document Type
Conference
Source
2019 27th European Signal Processing Conference (EUSIPCO) Signal Processing Conference (EUSIPCO), 2019 27th European. :1-5 Sep, 2019
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Tensors
Standards
Electroencephalography
Feature extraction
Matrix decomposition
Time-frequency analysis
Electrodes
infant EEG
event-related potentials
time-frequency-spatial features
nonnegative Tucker tensor decomposition
Language
ISSN
2076-1465
Abstract
Result of analysis of EEG responses of infants between 8-13 months of age to the syllable speech sounds are presented. We conducted an ERP experiment with an oddball paradigm consisting of two types of deviant stimuli (easy and hard) and standard stimulus. A nonnegative Tucker tensor decomposition (NTD) was used to characterize differences in processing of stimuli using a time-frequency-spatial (multi-domain) features. We extracted the multi-domain features for a reliable representation of the underlying infant brain activity to analyze the processing of standard and deviant stimuli. between standard and deviant stimuli and may be interpreted in terms of mismatch negativity (MMN) and acoustic change complex (ACC) evoked potentials. Moreover, these results serve as a proof-of-concept for application of tensor decomposition-based analyses for challenging infant EEG data.