This study focuses on word pronunciation in Text-to-Speech systems for Swedish. The purpose is to investigate whether machine learning techniques match knowledge-based systems in Swedish word pronunciation. The experiments show a maximum grapheme accuracy of just over 97%, and word accuracies from 67.0% for word pronunciation excluding stress assignment, which compares favourably to existing knowledgebased state-of-the-art systems.
Cite as: Lindgren, H., Granberg, J. (2000) A machine learning approach to Swedish word pronunciation. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 2, 783-786
@inproceedings{lindgren00_icslp,
author={Hanna Lindgren and Jessica Granberg},
title={{A machine learning approach to Swedish word pronunciation}},
year=2000,
booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
pages={vol. 2, 783-786}
}