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Showing 1 to 2 of 2 for “"Pronunciation Error Detection"”.
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Machine learning approaches to improving mispronunciation detection on an imbalanced corpus
… the investigations into the task of phone-level pronunciation error detection, the performance of which is heavily affected by the imbalanced distribution of the classes in a manually annotated data set of non-native English (Read Aloud responses from the TOEFL Junior Pilot assessment). In order …
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Dealing with linguistic mismatches for automatic speech recognition
… speech recognition (ASR) have resulted in a word error rate (WER) on par with human transcribers on the English Switchboard benchmark. However, dealing with linguistic mismatches between the training and testing data is still a significant challenge that remains unsolved. Under the monolingual …