This paper introduces the Common Prosody Platform (CPP), a computational platform that implements major theories and models of prosody. CPP aims at a) adapting theory-specific assumptions into computational algorithms that can generate surface prosodic forms, and b) making all the models trainable through global optimization based on automatic analysis-by-synthesis learning. CPP allows examination of prosody in much finer detail than has been previously done and provides a means for speech scientists to directly compare theories and their models. So far, four theories have been included in the platform, the Parallel Encoding and Target Approximation model, the Autosegmental-Metrical theory, the Task Dynamic model, and the Command-Response model. Preliminary tests show that all the implemented models can achieve good local contour fitting with low errors and high correlations.
DOI: 10.21437/SpeechProsody.2016-1
Prom-On, S., Xu, Y., Gu, W., Arvaniti, A., Nam, H., Whalen, D.H. (2016) The Common Prosody Platform (CPP): Where theories of prosody can be directly compared. Proc. Speech Prosody 2016, 1-5.
@inproceedings{Prom-On+2016, author={Santitham Prom-On and Yi Xu and Wentao Gu and Amalia Arvaniti and Hosung Nam and D. H. Whalen}, title={The Common Prosody Platform (CPP): Where theories of prosody can be directly compared}, year=2016, booktitle={Speech Prosody 2016}, doi={10.21437/SpeechProsody.2016-1}, url={http://dx.doi.org/10.21437/SpeechProsody.2016-1}, pages={1--5} }