Sixth European Conference on Speech Communication and Technology
Any TTS system requires accurate grapheme tophoneme conversion routines due to the limited pro-nunciation dictionaries. Data driven approaches of-fer the possibility to train new languages withoutthe knowledge of rules. A big problem is to preparehuge databases for the training. In this paper theautomation of the data preparation and the patterngeneration for the training of a neural network is ad-dressed. This automation is language independent,and no native expert is required. The data prepara-tion, the generation of the training patterns and thetraining itself are done completely automatically.
Full Paper (PDF) Gnu-Zipped Postscript
Bibliographic reference. Hain, Horst-Udo (1999): "Automation of the training procedures for neural networks performing multi-lingual grapheme to phoneme conversion", In EUROSPEECH'99, 2087-2090.