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Author

Vishal Shrivastava

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Open access Aug 2026

Foundations for pediatric vocal biomarkers: age-aware phoneme recognition and latent-space error analysis

An age-aware approach to pediatric phoneme analytics is supported, in which articulatory coordination, not just phoneme identity, carries developmentally and clinically relevant information; and phoneme-level performance should be interpreted relative to developmental stage rather than a single fixed benchmark.

Chethana Saligram, Vishal Shrivastava, M. Speights · 0 citations
Aug 2026

From scalar confidence to structured uncertainty: Modeling child speech intelligibility from acoustic model evidence

A Speech Intelligibility Probability (SIP) framework is proposed that conceptualizes intelligibility as acoustically induced model uncertainty rather than as word error or decoder confidence, and indicates that internal model uncertainty serves as a robust proxy for speech intelligibility.

Vishal Shrivastava, M. Speights · 0 citations
Aug 2026

From acoustic features to clinical meaning: Emerging technologies for interpretable AI in pediatric speech

Recent work on computer-assisted syllable analysis of continuous speech, published in the 2024 JASA special issue on Acoustic Cue-Based Perception and Production of Speech, demonstrates how linguistically structured, landmark-based acoustic representations improve robustness and interpretability relative to conventiona...

M. Speights, Vishal Shrivastava, Chethana Saligram · 0 citations

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