Papers by Anand Syamkumar

1 papers
Idiosyncratic Versus Normative Modeling of Atypical Speech Recognition: Dysarthric Case Studies (2025.emnlp-main)

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Challenge: Past studies have focused on fully personalized (or idiosyncratic) models for atypical speech . past studies focused on idiotic models, but current approaches focus on generalizing and handling idiomatic patterns .
Approach: They compare four models that generalize and handle idiosyncrasy to find atypical speech . they find the dysarthric-idios-ync model performs better than the idioconic approach .
Outcome: The proposed model generalizes and handles idiosyncrasy better than the idiocy model . the model requires less personalized data and reduces word error rate from 71% to 32% .

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