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Evaluating prosodic features for automated scoring of non-native read speech
2011
2011 IEEE Workshop on Automatic Speech Recognition & Understanding
We evaluate two types of prosodic features utilizing automatically generated stress and tone labels for non-native read speech in terms of their applicability for automated speech scoring. Both types of features have not been used in the context of automated scoring of non-native read speech to date. In our first experiment, we compute features based on a positional match between automatically identified stress and tone labels for 741 non-native read text passages with a human gold standard on
doi:10.1109/asru.2011.6163975
dblp:conf/asru/ZechnerXC11
fatcat:cle7dq6sebbrlfxm5zvtftzdla