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.
|Titolo:||Prosodic prominence detection in Italian continuous speech using probabilistic graphical models|
|Titolo del libro:||Social and Linguistic Speech Prosody - Proceedings of the 7th International Conference on Speech Prosody 2014|
|Data di pubblicazione:||2014|
|Nome del convegno:||7th International Conference on Speech Prosody, SP 2014|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|