Comparing Levenshtein distance and dynamic time warping in predicting listeners’ judgments of accent distance.

Holly C. Lind-Combs, Tessa Bent, Rachael F. Holt, Cynthia G. Clopper, Brown, E
Publication Date
2023
Website
Publication information
Authors: Holly C. Lind-Combs, Tessa Bent, Rachael F. Holt, Cynthia G. Clopper, and Emma Brown
Website: https://www.sciencedirect.com/science/article/pii/S0167639323001218
Year: In press, 2023

Abstract: Listeners attend to variation in segmental and prosodic cues when judging accent strength. The relative contributions of these cues to perceptions of accentedness in English remains open for investigation, although objective accent distance measures (such as Levenshtein distance) appear to be reliable tools for predicting perceptual distance. Levenshtein distance, however, only accounts for phonemic information in the signal. The purpose of the current study was to examine the relative contributions of phonemic (Levenshtein) and holistic acoustic (dynamic time warping) distances from the local accent to listeners’ accent rankings for nine non-local native and nonnative accents. Listeners (n = 52) ranked talkers on perceived distance from the local accent (Midland American English) using a ladder task for three sentence-length stimuli. Phonemic and holistic acoustic distances between Midland American English and the other accents were quantified using both weighted and unweighted Levenshtein distance measures, and dynamic time warping (DTW). Results reveal that all three metrics contribute to perceived accent distance, with the weighted Levenshtein slightly outperforming the other measures. Moreover, the relative contribution of phonemic and holistic acoustic cues was driven by the speaker's accent. Both nonnative and non-local native accents were included in this study, and the benefits of considering both of these accent groups in studying phonemic and acoustic cues used by listeners is discussed.

Citation

Lind-Combs, H. C., Bent, T., Holt, R. F., Clopper, C. G., & Brown, E. (2023). Comparing Levenshtein distance and dynamic time warping in predicting listeners’ judgments of accent distance. Speech Communication, 102987.