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Monica Sunkara

12 papers hereh-index 10362 citations15 works total

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

author position
  • first author3
  • middle author8
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • eess.AS4
  • cs.SD1
same name
  • Monica Sunkara — 11 papers, h 5

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
20202024
most citedAdapting Long Context NLM for ASR Rescoring in Conversational Agents

11 citations · 21 across the 9 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

eess.AS2021

Remember the context! ASR slot error correction through memorization

Dhanush Bekal, Ashish Shenoy, Monica Sunkara +2

Accurate recognition of slot values such as domain specific words or named entities by automatic speech recognition (ASR) systems forms the core of the Goal-oriented Dialogue Syste…

cs.CL2021★ 11 cited

Adapting Long Context NLM for ASR Rescoring in Conversational Agents

Ashish Shenoy, Sravan Bodapati, Monica Sunkara +2

Neural Language Models (NLM), when trained and evaluated with context spanning multiple utterances, have been shown to consistently outperform both conventional n-gram language mod…

eess.AS2021★ 2 cited

Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning

Nilaksh Das, Sravan Bodapati, Monica Sunkara +2

Training deep neural networks for automatic speech recognition (ASR) requires large amounts of transcribed speech. This becomes a bottleneck for training robust models for accented…

cs.CL2021

Neural Inverse Text Normalization

Monica Sunkara, Chaitanya Shivade, Sravan Bodapati +1

While there have been several contributions exploring state of the art techniques for text normalization, the problem of inverse text normalization (ITN) remains relatively unexplo…

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