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This paper proposes a three-layer model for estimating the expressed emotions in a speech signal based on a dimensional approach. Most of the previous studies using the dimensional approach mainly focused on the direct relationship between acoustic features and emotion dimensions (valence, activation, and dominance). However, the acoustic features that correlate to valence dimension are less numerous,...
Quality of unit-based concatenative speech synthesis is low while that of corpus-based concatenative speech synthesis with unit selection is great natural. However, unit selection requires a huge data for concatenation that reduces the range of its applications. In this paper, by using temporal decomposition for modeling contextual effects intra-syllable and inter-syllables, we propose a context-fitting...
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