iBet uBet web content aggregator. Adding the entire web to your favor.
Link to original content: https://doi.org/10.21437/ICSLP.2002-391
We describe results on pitch accent placement in Dutch text obtained with a memory-based learning approach. The training material consists of newspaper texts that have been prosodically annotated by humans, and subsequently enriched with linguistic features and informational metrics using generally available, low-cost, shallow, knowledge-poor tools. We report on the effects of contextmodelling and the nearest neighbours parameter (k), and show the advantage of combining features of a different nature, where the best performance yields a cross-validated F-score of 82. Evaluation on an independent test corpus shows that our approach outperforms existing TTS systems for Dutch.