Prosodic Phrase Boundary Classification Based on Czech Speech Corpora

The correct usage of phrase boundaries is an important issue for ensuring a natural sounding and easily intelligible speech. Therefore, it is not surprising that the boundary detection is also a part of text-to-speech systems. In the presented paper, large speech corpora are used for a classification based approach in order to improve the phrasing of synthesized sentences. The paper compares results of different classifiers to the deterministic approaches based on punctuation and conjunctions and shows that they are able to outperform the simple algorithms.

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