Mona Hakami

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We present a method that improves the objective quality estimation of a speech utterance. We show that including raw features that are presumably redundant reduces the effect of input noise and improves the performance of linear regressors. To exploit this effect we propose the novel idea to augment the feature set with redundant features. The proposed(More)
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