Transcribing Educational Videos Using Whisper: A preliminary study on using AI for transcribing educational videos
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Abstract (arXiv)
Videos are increasingly being used for e-learning, and transcripts are vital to enhance the learning experience. The costs and delays of generating transcripts can be alleviated by automatic speech recognition (ASR) systems. In this article, we quantify the transcripts generated by whisper for 25 educational videos and identify some open avenues of research when leveraging ASR for transcribing educational videos.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 4 of its 14 references that are in the map. First posted on arXiv 4 Jul 2023.
Builds on
4 of 14 references.
References · 4
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
- 2022Flashlight: Enabling Innovation in Tools for Machine Learningcited by 25
- 2022PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkitcited by 9
- 2020The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Trafficcited by 2
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Citing papers per year: 2023: 1; 2024: 1.
2 papers.