◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Aashish Agarwal

University of Duisburg Essen

3 papers hereh-index 466 citations6 works total

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

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • eess.AS1
affiliations
  • University of Duisburg Essen

identity via Semantic Scholar / OpenAlex

most citedDialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021

5 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2023

Towards Real-World Streaming Speech Translation for Code-Switched Speech

Belen Alastruey, Matthias Sperber, Christian Gollan +3

Code-switching (CS), i.e. mixing different languages in a single sentence, is a common phenomenon in communication and can be challenging in many Natural Language Processing (NLP)…

eess.AS2021★ 5 cited

Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021

Yuriy Arabskyy, Aashish Agarwal, Subhadeep Dey +1

This paper describes the winning approach in the Shared Task 3 at SwissText 2021 on Swiss German Speech to Standard German Text, a public competition on dialect recognition and tra…

cs.CL2021★ 1 cited

Robustness of end-to-end Automatic Speech Recognition Models -- A Case Study using Mozilla DeepSpeech

Aashish Agarwal, Torsten Zesch

When evaluating the performance of automatic speech recognition models, usually word error rate within a certain dataset is used. Special care must be taken in understanding the da…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.