Unspoken Sound: Identifying Trends in Non-Speech Audio Captioning on YouTube-Reference-Cited by-同舟云学术

Unspoken Sound: Identifying Trends in Non-Speech Audio Captioning on YouTube

Published:2024-05-11 Issue: Volume:5 Page:1-19
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
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Author:

May Lloyd¹^ORCID,Ohshiro Keita²^ORCID,Dang Khang³^ORCID,Sridhar Sripathi⁴^ORCID,Pai Jhanvi⁴^ORCID,Fuentes Magdalena⁵^ORCID,Lee Sooyeon⁶^ORCID,Cartwright Mark⁷^ORCID

Affiliation:

1. Center for Computer Research in Music and Acoustics (CCRMA), Stanford University, United States

2. Department of Informatics, New Jersey Institute of Technology, United States

3. Informatics, New Jersey Institute of Technology, United States

4. Sound Interaction and Computing Lab, New Jersey Institute of Technology, United States

5. MARL-IDM, New York University, United States

6. Informatics/Ying Wu College of Computing, New Jersey Institute of Technology, United States

7. New York University, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642162

Reference69 articles.

1. 2021. Closed Captioning of Internet Video Programming. https://www.fcc.gov/consumers/guides/captioning-internet-video-programming

2. 2021. Closed Captioning on Television. https://www.fcc.gov/consumers/guides/closed-captioning-television

3. 2023. YouDescribe - Audio Description for Youtube Videos. https://www.youdescribe.org/.

4. Akhter Al Amin. 2020. Audio-Visual Caption Evaluation Metric for People who are Deaf and Hard of Hearing. (2020).

5. Beyond Subtitles: Captioning and Visualizing Non-speech Sounds to Improve Accessibility of User-Generated Videos

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