Cited by 8Subtitles and Audiovisual MediaNatural Language Processing TechniquesImage and Video Quality Assessment

Comparing the Accuracy of ACE and WER Caption Metrics When Applied to Live Television Captioning

Wells, Tian, Christoffels, Dylan, Vogler, Christian, Kushalnagar, Raja·2022·Lecture Notes in Computer Science

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Crossref · 10.1007/978-3-031-08648-9_61

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  • Wells et al. [2022] could not find a significant difference between ACE and WER.

    “But Wells et al. [2022] could not ind a signiicant diference between ACE and WER.”

    From Measuring the Accuracy of Automatic Speech Recognition Solutions (2023) · cites this paper as Wells et al. 2022

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Authors
Wells, T., Christoffels, D., Vogler, C., & Kushalnagar, R.
Affiliations
  • Columbia University (US)
  • Gallaudet University (US)
Corresponding author
Kushalnagar, Raja
Venue
Lecture Notes in Computer Science
Published
2022
Pages
522-528
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W4285148224
Cited by
8
References
0
Citations by year
2026: 3 · 2025: 1 · 2024: 2 · 2023: 2
FWCI
16.48
Type
conference paper
Language
en
Open access
closed
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Social Sciences › Arts and Humanities › Language and Linguistics › Subtitles and Audiovisual Media
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
Keywords
word error rate, accessibility

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