Abstract
This study investigated the relation between various acoustic features and prominence. Past research has suggested that duration, pitch, and intensity all play a role in the perception of prominence. In our past work, we found a correlation between these acoustic features and speaker agreement over the placement of prominence. The current study was motivated by a need to enrich our understanding of this correlation. Using the Bayesian information criterion, we show that the best model for a feature that cues prosody is not necessarily a single Gaussian. Rather, the best model depends on the feature. This finding has consequences for our understanding of the role of these features in the perception of prosody and for prosody recognition systems.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2037-2040 |
| Number of pages | 4 |
| Journal | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
| State | Published - 2011 |
| Event | 12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011 - Florence, Italy Duration: Aug 27 2011 → Aug 31 2011 |
Keywords
- Bayesian Information Criterion
- Prominence
- Prosody
ASJC Scopus subject areas
- Language and Linguistics
- Human-Computer Interaction
- Signal Processing
- Software
- Modeling and Simulation