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 |
Autore/i: | TAMBURINI, FABIO; Bertini C.; Bertinetto P. M. |
Autore/i Unibo: | |
Anno: | 2014 |
Serie: | |
Titolo del libro: | Social and Linguistic Speech Prosody. Proceedings of the 7th international conference on Speech Prosody |
Pagina iniziale: | 285 |
Pagina finale: | 289 |
Abstract: | 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. |
Data stato definitivo: | 23-nov-2015 |
Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |