14th International Congress of Phonetic Sciences (ICPhS-14)
San Francisco, CA, USA
Ongoing research on Finnish prosody with respect to modeling pitch, loudness and segmental duration with artificial neural networks is presented. The neural network methodology is a continuation of our earlier studies on word level prosody. We investigated the problem of generating values for prosodic features from symbolic input with standard multi-layer feed-forward networks that were trained with back propagation. Our results show that the neural network methodology is well suited to modeling and studying all phonetic aspects as well as levels of prosody.
Bibliographic reference. Vainio, Martti / Altosaar, Toomas / Karjalainen, Matti / Aulanko, Reijo / Werner, Stefan (1999): "Neural network models for Finnish prosody", In ICPhS-14, 2347-2350.