SlideAVSR: A Dataset of Paper Explanation Videos for Audio-Visual Speech Recognition
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Abstract (arXiv)
Audio-visual speech recognition (AVSR) is a multimodal extension of automatic speech recognition (ASR), using video as a complement to audio. In AVSR, considerable efforts have been directed at datasets for facial features such as lip-readings, while they often fall short in evaluating the image comprehension capabilities in broader contexts. In this paper, we construct SlideAVSR, an AVSR dataset using scientific paper explanation videos. SlideAVSR provides a new benchmark where models transcribe speech utterances with texts on the slides on the presentation recordings. As technical terminologies that are frequent in paper explanations are notoriously challenging to transcribe without reference texts, our SlideAVSR dataset spotlights a new aspect of AVSR problems. As a simple yet effective baseline, we propose DocWhisper, an AVSR model that can refer to textual information from slides, and confirm its effectiveness on SlideAVSR.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 13 of its 24 references that are in the map. First posted on arXiv 18 Jan 2024.
Builds on
13 of 24 references.
References · 13
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- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
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- 2018Deep Audio-Visual Speech Recognitioncited by 322
- 2018LRS3-TED: a large-scale dataset for visual speech recognitioncited by 308
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- 2016Lip Reading Sentences in the Wildcited by 228
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- 2021JTubeSpeech: corpus of Japanese speech collected from YouTube for speech recognition and speaker verificationcited by 21
1 more
- 2023Svarah: Evaluating English ASR Systems on Indian Accentscited by 16
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Citing papers per year: 2024: 1; 2025: 2; 2026: 4.
7 papers.
- 2025Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slidescited by 5
- 2024Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy?cited by 2
- 2025MLLM-based Speech Recognition: When and How is Multimodality Beneficial?cited by 1
- 2026OCR-Enhanced Multimodal ASR Can Read While Listeningcited by 1
- 2026Unifying Scientific Communication: Fine-Grained Correspondence Across Scientific Mediacited by 1
- 2026The Spoken Wikipedia Presentation Corpuscited by 0
- 2026ScreenASR-Bench: A Tiered Benchmark for Speech Recognition with Visual Contextcited by 0
- 2026ScreenASR-Bench: A Tiered Benchmark for Speech Recognition with Visual Context12 Oct 2026
- 2026The Spoken Wikipedia Presentation Corpus18 Sep 2026
- 2026Unifying Scientific Communication: Fine-Grained Correspondence Across Scientific Media7 May 2026
- 2026OCR-Enhanced Multimodal ASR Can Read While Listening26 Jan 2026
- 2025MLLM-based Speech Recognition: When and How is Multimodality Beneficial?25 Jul 2025
- 2025Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slides21 Apr 2025
- 2024Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy?13 Sep 2024