Search Results for author: Yaman Kumar Singla

Found 10 papers, 2 papers with code

Span Classification with Structured Information for Disfluency Detection in Spoken Utterances

1 code implementation30 Mar 2022 Sreyan Ghosh, Sonal Kumar, Yaman Kumar Singla, Rajiv Ratn Shah, S. Umesh

Existing approaches in disfluency detection focus on solving a token-level classification task for identifying and removing disfluencies in text.


Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency

no code implementations30 Nov 2021 Pakhi Bamdev, Manraj Singh Grover, Yaman Kumar Singla, Payman Vafaee, Mika Hama, Rajiv Ratn Shah

English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and industry.

Feature Importance

Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees

no code implementations17 Nov 2021 Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen

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 contexts from government examinations to companies providing language proficiency services.

Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks

no code implementations13 Oct 2021 Anuj Saraswat, Mehar Bhatia, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah

Recent studies in speech perception have been closely linked to fields of cognitive psychology, phonology, and phonetics in linguistics.

Lip Reading Visual Speech Recognition

AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses

no code implementations24 Sep 2021 Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Junyi Jessy Li, Rajiv Ratn Shah, Changyou Chen

This is in stark contrast to recent probing studies on pre-trained representation learning models, which show that rich linguistic features such as parts-of-speech and morphology are encoded by them.

Representation Learning

Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring

no code implementations30 Aug 2021 Yaman Kumar Singla, Avykat Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah

In our technique, we take advantage of the fact that oral proficiency tests rate multiple responses for a candidate.

What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure

no code implementations2 Jan 2021 Jui Shah, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah

In recent times, BERT based transformer models have become an inseparable part of the 'tech stack' of text processing models.

Towards Modelling Coherence in Spoken Discourse

no code implementations31 Dec 2020 Rajaswa Patil, Yaman Kumar Singla, Rajiv Ratn Shah, Mika Hama, Roger Zimmermann

While there has been significant progress towards modelling coherence in written discourse, the work in modelling spoken discourse coherence has been quite limited.

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