Abstract
This paper is devoted to letter-to-sound (LTS) conversion for the German language. The system for automatic LTS conversion is an essential module in speech recognition and text-to-speech (TTS) systems. The LTS rules are generated by the decision tree based method. Although this method usually uses the entropy criterion we proposed and used a new original criterion described in the paper. The both criterions are investigated and their results are compared. Our training lexicon does not contain any alignment information. Therefore, three different automatic alignment methods were used and tested. A chunk-based alignment instead of usual one-to-one character correspondence is employed.
Support for this work was provided by Ministry of Education of the Czech Republic, project No. MSM235200004.
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Zelinka, J., Müller, L. (2004). Automatic General Letter-to-Sound Rules Generation for German Text-to-Speech System. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2004. Lecture Notes in Computer Science(), vol 3206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30120-2_68
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DOI: https://doi.org/10.1007/978-3-540-30120-2_68
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