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. Author manuscript; available in PMC: 2017 Mar 1.
Published in final edited form as: Neuroimage. 2016 Jan 11;128:293–301. doi: 10.1016/j.neuroimage.2016.01.003

Figure 1.

Figure 1

A. Acoustic properties (first and second formant frequencies; F1/F2) of the vowels as obtained from a linear predictive coding (LPC) analysis. B. Waveform and spectrogram for a representative member of each vowel type. C. Illustration of passive oddball paradigm. In the large F1 distance condition, low [æ] and high [ɪ] were presented in standard position and thus set up a predictive context, violated by the respective deviants [ɪ] and [æ]. In the small F1 distance condition, high [ɪ] as standard set up a predictive context while [ε] created a relatively non-predictive context.