Abstract
We describe a statistical method for assignment of prosodic phrases and semantic accents in read speech data. The method is based on statistical evaluation of listening test data by a maximum-likelihood approach with parameters estimated by an EM algorithm. We also present linguistically relevant quantitative results about the prosodic phrase and semantic accent distribution in 250 Czech sentences.
Support for this work was provided by the Ministry of Education of the Czech Republic, projects 2C06020 and LC536.
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Romportl, J. (2008). Prosodic Phrases and Semantic Accents in Speech Corpus for Czech TTS Synthesis. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2008. Lecture Notes in Computer Science(), vol 5246. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87391-4_63
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DOI: https://doi.org/10.1007/978-3-540-87391-4_63
Publisher Name: Springer, Berlin, Heidelberg
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