Decision trees are a popular technique for automatic generation of a phonetic transcription for a given word spelling. We investigate different methods of decision tree design to obtain more compact trees and at the same time better grapheme-to-phoneme transcription quality. We evaluate different approaches to decision tree question selection and pruning using one English and two German grapheme-to-phoneme transcription tasks. In particular, we present a method of automatic generation of decision tree questions from the training data that significantly improves decision tree design.
Cite as: Kienappel, A.K., Kneser, R. (2001) Designing very compact decision trees for grapheme-to-phoneme transcription. Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001), 1911-1914, doi: 10.21437/Eurospeech.2001-451
@inproceedings{kienappel01_eurospeech,
author={Anne K. Kienappel and Reinhard Kneser},
title={{Designing very compact decision trees for grapheme-to-phoneme transcription}},
year=2001,
booktitle={Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001)},
pages={1911--1914},
doi={10.21437/Eurospeech.2001-451}
}