The paper introduces phoneme recognition using articulatory features as a proxy metric for evaluating articulatory speech synthesis quality from phonetic sequences.
Cyclical learning rates for training neural networks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A gradient-descent algorithm with level-set surface representation and dynamic point adjustment generates curvature-adaptive, locally regular point distributions on curved surfaces with low deviation from target spacing.
citing papers explorer
-
Evaluating Speech Articulation Synthesis with Articulatory Phoneme Recognition
The paper introduces phoneme recognition using articulatory features as a proxy metric for evaluating articulatory speech synthesis quality from phonetic sequences.
-
Globally adaptive and locally regular point discretization of curved surfaces
A gradient-descent algorithm with level-set surface representation and dynamic point adjustment generates curvature-adaptive, locally regular point distributions on curved surfaces with low deviation from target spacing.