Modeling speaker variation in cues to prominence using the Bayesian information criterion
نویسندگان
چکیده
This study investigated speaker variation in the production of various acoustic cues of prominence, including duration and intensity measures. The Bayesian Information Criterion was used to specify a threshold distinction between cues that are linearly vs. piece-wise linearly predictors of the degree of perceived prominence. For all speakers, some features are linear and some features are discrete in the manner in which they cue prominence. However, the results also suggest that speakers differ in the number of prominence distinctions that they make. Under a metrical stress notion of hierarchically layered prominence, our result would suggest that some speakers do not exploit the full range of prominence distinctions offered in English.
منابع مشابه
Accounting for Speaker Variation in the Production of Prominence using the Bayesian Information Criterion
This study investigated speaker variation in the production of various acoustic cues of prominence, including durational and intensity measures. This study stems from our prior work where we used the Bayesian Information Criterion to determine whether each cue were gradiently or discretely associated with prominence. In our prior work, we found that features vary as to whether they are gradient...
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