21 citations · 122 across the 44 of their papers we have counts for
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Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency
Pakhi Bamdev, Manraj Singh Grover, Yaman Kumar Singla +3
English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and industry. With the rise in demand for such a…
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees
Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah +1
Automated Scoring (AS), the natural language processing task of scoring essays and speeches in an educational testing setting, is growing in popularity and being deployed across co…
AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses
Yaman Kumar Singla, Swapnil Parekh, Somesh Singh +3
Deep-learning based Automatic Essay Scoring (AES) systems are being actively used by states and language testing agencies alike to evaluate millions of candidates for life-changing…
Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks
Anuj Saraswat, Mehar Bhatia, Yaman Kumar Singla +2
Recent studies in speech perception have been closely linked to fields of cognitive psychology, phonology, and phonetics in linguistics. During perceptual attunement, a critical an…
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
Swapnil Parekh, Yaman Singla Kumar, Somesh Singh +3
It is well known that natural language models are vulnerable to adversarial attacks, which are mostly input-specific in nature. Recently, it has been shown that there also exist in…
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring
Yaman Kumar Singla, Avykat Gupta, Shaurya Bagga +3
Automatic Speech Scoring (ASS) is the computer-assisted evaluation of a candidate's speaking proficiency in a language. ASS systems face many challenges like open grammar, variable…