Abstract
This paper presents the analysis made to assess the suitability of neutral semantic corpora to study emotional speech. Two corpora have been used: one having neutral texts that were common to all emotions and the other having texts related to the emotion. Subjective and objective analysis have been performed. In the subjective test common corpus has achieved good recognition rates, although worse than those obtained with specific texts. In the objective analysis, differences among emotions are larger for common texts than for specific texts, indicating that in common corpus expression of emotions was more exaggerated. This is convenient for emotional speech synthesis, but no for emotion recognition. So, in this case, common corpus is suitable for the prosodic modeling of emotions to be used in speech synthesis, but for emotion recognition specific texts are more convenient.
This work has been partially funded by the Spanish Ministry of Science and Technology (TIC2003-08382-C05-03). Authors would also like to thank all the evaluators that took part in the subjective evaluation process.
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Navas, E., Hernáez, I., Luengo, I., Sánchez, J., Saratxaga, I. (2005). Analysis of the Suitability of Common Corpora for Emotional Speech Modeling in Standard Basque. In: Matoušek, V., Mautner, P., Pavelka, T. (eds) Text, Speech and Dialogue. TSD 2005. Lecture Notes in Computer Science(), vol 3658. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551874_34
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DOI: https://doi.org/10.1007/11551874_34
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