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Title: Key acoustic cues for the realization of metrical prominence in tone languages : a cross-dialect study
Authors: Hu, Y 
Feng, H
Issue Date: 2024
Source: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2024, p. 3130-3134
Abstract: Few studies have quantitatively discussed the acoustic realization of metrical prominence across tone languages. This study addresses this issue in word-level prosodic units, aiming to identify effective acoustic cues for cross-language analysis based on the realization of metrical prominence. Findings include: (1) Within-dialect analyses reveal robust acoustic cues for realizing metrically strong units: duration, pitch height, and pitch slope for both left- and right-dominant prominence, and intensity, pitch range and cumulative pitch dynamics, an often-overlooked cue, for right-dominant one; (2) Cross-dialect analyses by Boruta algorithm identify that all these six acoustic cues are significant for the classification of Chinese dialects according to their realization of metrical prominence. Linear Discriminant Analysis emphasizes duration, intensity, and cumulative pitch dynamics as key discriminators across dialects.
Keywords: Acoustic realization
Chinese dialects
Machine learning
Metrical prominence
Publisher: International Speech Communication Association
DOI: 10.21437/Interspeech.2024-666
Description: Interspeech 2024, 1-5 September 2024, Kos, Greece
Rights: The following publication Hu, Y., Feng, H. (2024) Key Acoustic Cues for the Realization of Metrical Prominence in Tone Languages: A Cross-Dialect Study. Proc. Interspeech 2024, 3130-3134 is available at https://doi.org/10.21437/Interspeech.2024-666.
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