Abstract

While previous studies have attempted to decompose vowel articulatory data into a set of basis factors, these studies have often been limited in both scale and the data being sparsely sampled, limiting interpretability and generalizability of the results (Nix et al. 1996 and Serrurier et al. 2019). In this study, the data were analyzed from 36 (23F, 13M) American English speakers producing 13 vowels in bVt sequences obtained using real-time MRI. Midsagittal tongue contours were obtained during vowel productions for all speakers using a semi-automated segmentation algorithm (Jain et al. 2024). Frames corresponding to the vowel articulation were segmented using MFA and simultaneously recorded audio. A combination of Procrustes analysis for cross-speaker normalization and guided PCA were employed to decompose the pooled articulatory space into a set of vowel “primitives.” 71% of the variation within the …

Metadata

publication

The Journal of the Acoustical Society of America 156 (4_Supplement), A49-A49, 2024

year

2024

publication date

2024/10/1

authors

Sean Foley, Shrikanth Narayanan

link

https://pubs.aip.org/asa/jasa/article-abstract/156/4_Supplement/A49/3331075

journal

The Journal of the Acoustical Society of America

volume

156

issue

4_Supplement

pages

A49-A49

publisher

Acoustical Society of America