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This https://arxiv.org/abs/2505.20529 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

Training Articulatory Inversion Models for Inter-Speaker Consistency
Acoustic-to-Articulatory Inversion (AAI) attempts to model the inverse mapping from speech to articulation. Exact articulatory prediction from speech alone may be impossible, as speakers can choose different forms of articulation seemingly without reference to their vocal tract structure. However, once a speaker has selected an articulatory form, their productions vary minimally. Recent works in AAI have proposed adapting Self-Supervised Learning (SSL) models to single-speaker datasets, claimin…

Tight bounds of norms of Wasserstein metric matrix
Aaisha Be, Nachiketa Mishra, Debasisha Mishra
https://arxiv.org/abs/2506.15326 https://

Tight bounds of norms of Wasserstein metric matrix
Very recently, Bai [Linear Algebra Appl., 681:150-186, 2024 \& Appl. Math. Lett., 166:109510, 2025] studied some concrete structures, and obtained essential algebraic and computational properties of the one-dimensional, two-dimensional and generalized Wasserstein-1 metric matrices. This article further studies some algebraic and computational properties of these classes of matrices. Specifically, it provides lower and upper bounds on the $1,2,\infty$-norms of these matrices, their inverses, and…

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