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Author

Marisha L Speights

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Open access Aug 2026

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

Introduction Pediatric speech sound disorders (SSDs) affect many young children and are commonly assessed through auditory-perceptual judgments and IPA transcription, which are limited by listener bias, variable interrater reliability, and difficulty attributing deviations at the phoneme level. We present a development...

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

Interpretable artificial intelligence (AI) has become an increasingly important topic in speech communication as data-driven methods are used to support clinical decision-making in speech health. This talk highlights acoustic technologies that advance interpretable AI for pediatric preschool-age speech. Recent work on...

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

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