Quantification of Automatic Speech Recognition System Performance on d/Deaf and Hard of Hearing Speech

Authors

Anaïs Rameau (ORCID: https://orcid.org/0000-0003-1543-2634)
Allison Koenecke (ORCID: https://orcid.org/0000-0002-6233-8256)
Robin Zhao (ORCID: https://orcid.org/0009-0000-0345-2756)
Anna Seo Gyeong Choi (ORCID: https://orcid.org/0009-0006-2482-2713)

Institutions

Cornell University (US)

Publication Details

Journal: The Laryngoscope
Published: 2024-08-19
DOI: https://doi.org/10.1002/lary.31713
Citations: 13
Primary Topic: Voice and Speech Disorders
Type: article
Field-Weighted Citation Impact: 4.25

Funders

National Institutes of Health
Common Fund

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article

Quantification of Automatic Speech Recognition System Performance on d/Deaf and Hard of Hearing Speech

Anaïs Rameau, Allison Koenecke, Robin Zhao, Anna Seo Gyeong Choi

Aug 19, 2024

13 citations

The Laryngoscope

Voice and Speech Disorders

4.25

article

Quantification of Automatic Speech Recognition System Performance on d/Deaf and Hard of Hearing Speech

Anaïs Rameau, Allison Koenecke, Robin Zhao, Anna Seo Gyeong Choi

August 19, 2024article en

13 citations

Abstract

No abstract available for this paper.

The LaryngoscopeVol. 135(1)

Cornell University (US)

National Institutes of Health, Common Fund

Quality Education

Openalex Percentile: Top 5%

Voice and Speech Disorders

4.25

DOI Open Access PDF OpenAlex

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Quantification of Automatic Speech Recognition System Performance on d/Deaf and Hard of Hearing Speech — Anaïs Rameau, Allison Koenecke, et al. · The Laryngoscope (2024) | TGRS Research Map | TGRS