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Automatic Speech Recognition Errors Detection Using Supervised Learning Techniques

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Figure

Figure 1. General process of the error detection system.
TABLE 1. WORDS DISTRIBUTION IN THE TRAINING AND TEST SETS.
TABLE 3. CLASSIFICATION PERFORMANCE (% PRE, % REC AND % FM) BASED ON DIFFERENT FEATURES COMBINATIONS AND USING THREESUPERVISED CLASSIFIERS, ON THE TEST SET.

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