Papers by Subinuer Maimaitituerxun

1 papers
Synergizing Semantic Anchors and Ordinal Smoothed Cross-Entropy for Speech Fluency Classification (2026.findings-acl)

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Challenge: Existing methods fail to bridge the semantic gap between static expert priors and dynamic temporal representations while overlooking the inherent ordinal nature of fluency scores.
Approach: They propose a set of expert features targeting fluency disruptions and rhythmic regularity to provide explicit linguistic priors.
Outcome: The proposed model outperforms baseline models in both macroscopic and microscopic speech flow trends and local anomalies.

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