Prosodic prominence detection in Italian continuous speech using probabilistic graphical models

Fabio Tamburini, Chiara Bertini, Pier Marco Bertinetto


Prosodic prominence, a speech phenomenon by which some linguistic units are perceived as standing out from their environment, plays a very important role in human communication. In this paper we present a study on automatic prominence identification using Probabilistic Graphical Models, a family of Machine Learning Systems able to properly handle sequences of events. We tested the most promising members of such models on utterances selected from a manually annotated Italian speech corpus, obtaining very good recognition results crucially converging with the prominence detection responses provided by a pool of native speakers.


 DOI: 10.21437/SpeechProsody.2014-44

Cite as: Tamburini, F., Bertini, C., Bertinetto, P.M. (2014) Prosodic prominence detection in Italian continuous speech using probabilistic graphical models. Proc. 7th International Conference on Speech Prosody 2014, 285-289, DOI: 10.21437/SpeechProsody.2014-44.


@inproceedings{Tamburini2014,
  author={Fabio Tamburini and Chiara Bertini and Pier Marco Bertinetto},
  title={{Prosodic prominence detection in Italian continuous speech using probabilistic graphical models}},
  year=2014,
  booktitle={Proc. 7th International Conference on Speech Prosody 2014},
  pages={285--289},
  doi={10.21437/SpeechProsody.2014-44},
  url={http://dx.doi.org/10.21437/SpeechProsody.2014-44}
}