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. Author manuscript; available in PMC: 2020 Aug 27.
Published in final edited form as: IEEE EMBS Int Conf Biomed Health Inform. 2019 Sep 12;2019:1–4. doi: 10.1109/bhi.2019.8834506

Fig. 5:

Fig. 5:

Cumulative distribution of event count error for pre-linguistic segmentation [14], Smekal et al. [15] [16], MFCC with Linear SVM and our DeepDDK software. Horizontal axis indicates count error (difference between the number of predicted events vs. ground truth events). Vertical axis shows the ratio of the test files. Absolute event count differences of 1, 2, 3, 4, 5 in the graph correspond to percent count errors of 1.35%, 2.70%, 4.05%, 5.40%, 6.75%, respectively (average number of events per file is 74).