Flexible and Interpretable Accent Distance Measurements
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 16 references that are in the map. First posted on arXiv 10 Sep 2026.
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References · 5
- 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 1,609
- 2023CommonAccent: Exploring Large Acoustic Pretrained Models for Accent Classification Based on Common Voicecited by 19
- 2024AccentBox: Towards High-Fidelity Zero-Shot Accent Generationcited by 9
- 2022Formant Estimation and Tracking using Probabilistic Heat-Mapscited by 2
- 2025Training Articulatory Inversion Models for Interspeaker Consistencycited by 1
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