Flexible and Interpretable Accent Distance Measurements

Abstract:Determining the differences between two speakers' accents is a fundamental task in linguistics and speech technology research. The methodology used to measure these differences depends on the specific research area. A phonetics researcher may demonstrate accent variation by comparing vowel formants in paired recordings of individual words. These results will be interpretable, but the recordings will be time-consuming to collect and may not be representative of connected speech. Accented Text-to-Speech (TTS) research has pushed towards using accent embeddings derived from accent classification tasks. These embeddings can be produced from any speech recording, but are not readily interpretable. In this paper, we demonstrate that articulatory representations created through articulatory inversion can be used as an interpretable basis for accent comparison and that optimal transport provides a framework for accent comparison across arbitrary recording types.

Artificial Intelligence (cs.AI)

arXiv:2609.11458 [cs.AI]

(or arXiv:2609.11458v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2609.11458 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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