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Debjyoti Paul

4 papers hereh-index 369 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • eess.AS1
same name
  • Debjyoti Paul — 3 papers
  • Debjyoti Paul — 2 papers, h 5
  • Debjyoti Paul — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedA Domain Adaptation Framework for Speech Recognition Systems with Only Synthetic data

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

VowelPrompt: Hearing Speech Emotions from Text via Vowel-level Prosodic Augmentation

Yancheng Wang, Osama Hanna, Ruiming Xie +11

Emotion recognition in speech presents a complex multimodal challenge, requiring comprehension of both linguistic content and vocal expressivity, particularly prosodic features suc…

eess.AS2025★ 1 cited

A Domain Adaptation Framework for Speech Recognition Systems with Only Synthetic data

Minh Tran, Yutong Pang, Debjyoti Paul +7

We introduce DAS (Domain Adaptation with Synthetic data), a novel domain adaptation framework for pre-trained ASR model, designed to efficiently adapt to various language-defined d…

cs.CL2024

LLaMA based Punctuation Restoration With Forward Pass Only Decoding

Yutong Pang, Debjyoti Paul, Kevin Jiang +2

This paper introduces two advancements in the field of Large Language Model Annotation with a focus on punctuation restoration tasks. Our first contribution is the application of L…

cs.CL2024★ 1 cited

Towards scalable efficient on-device ASR with transfer learning

Laxmi Pandey, Ke Li, Jinxi Guo +4

Multilingual pretraining for transfer learning significantly boosts the robustness of low-resource monolingual ASR models. This study systematically investigates three main aspects…

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