Fig. 2 | Scientific Reports

Fig. 2

From: Speech prediction of a listener via EEG-based classification through subject-independent phase dissimilarity model

Fig. 2

Results of the subject-specific phase dissimilarity model. A: The average accuracy for each subject for the subject-specific model and random classifier that uses a single trial of the same subject as a template (grand average accuracy of the model is 36.57%). B: The confusion matrices of the model and random classifier summarize predictions for all audiobooks (i.e., stimuli). The best model’s classification belongs to audiobook #2, with an accuracy of 53.29%. C: Evaluating classification performance across different duration lengths for each subject indicates a decrement in accuracy when the length of the audiobooks decreases. At least 60 s of audiobooks are needed to classify EEG signals above the chance level.

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