TabTalk: REUSABILITY IN DATA-ORIENTED GRAPHEME-TO-PHONEME CONVERSION (1993)
| Venue: | In Proceedings of Eurospeech '93 |
| Citations: | 9 - 9 self |
BibTeX
@INPROCEEDINGS{Daelemans93tabtalk:reusability,
author = {Walter Daelemans and Antal van den Bosch},
title = {TabTalk: REUSABILITY IN DATA-ORIENTED GRAPHEME-TO-PHONEME CONVERSION},
booktitle = {In Proceedings of Eurospeech '93},
year = {1993},
pages = {1459--1466}
}
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Abstract
In the traditional (knowledge-based) approach to the design of grapheme-to-phoneme modules in text-to-speech systems, it is claimed that various explicitly coded, language-specific, linguistic knowledge sources are necessary for a good performance. Due to knowledge acquisition bottlenecks, this implies long development cycles. As an alternative, we propose to use inductive methods from machine learning in a simple combined Trie Search and Similarity-Based Reasoning approach and show that, for Dutch, its performance is better than that of the knowledge-based approach and backpropagation learning. Furthermore, we show that our approach is reusable for any language for which a training corpus exists. Keywords: grapheme-to-phoneme conversion, text-tospeech, trie search, similarity-based reasoning, machine learning INTRODUCTION The larger part of research on grapheme-to-phoneme conversion focuses on developing systems that implement various levels of language-specific linguistic knowledge....
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