Journal of Big Data

Table 5 V-RNN classification accuracies, F-measures and RTF of error detection obtained based on generic versus non-generic and semi-generic features

From: Evaluation of the effectiveness and efficiency of state-of-the-art features and models for automatic speech recognition error detection

Feature set	Accuracy (%)	F-measure (%)			RTF
Feature set	Accuracy (%)	Correct	Error	Average	RTF
Non-generic	85.85	91.22	63.57	85.42	35.86815
Semi-generic	85.36	90.99	61.02	84.70	0.22128
Generic	81.09	88.80	39.53	78.47	0.00025
All	86.58	91.67	65.42	86.17	36.08944

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