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EnglishProsodic 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 |
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