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Audio-visual speech recognition (AVSR) is a multimodal extension of automaticspeech recognition (ASR), using video as a complement to audio. In AVSR,considerable efforts have been directed at datasets for facial features such aslip-readings, while they often fall short in evaluating the image comprehensioncapabilities in broader contexts. In this paper, we construct SlideAVSR, anAVSR dataset using scientific paper explanation videos. SlideAVSR provides anew benchmark where models transcribe speech utterances with texts on theslides on the presentation recordings. As technical terminologies that arefrequent in paper explanations are notoriously challenging to transcribewithout reference texts, our SlideAVSR dataset spotlights a new aspect of AVSRproblems. As a simple yet effective baseline, we propose DocWhisper, an AVSRmodel that can refer to textual information from slides, and confirm itseffectiveness on SlideAVSR.

SlideAVSR: A Dataset of Paper Explanation Videos for Audio-Visual Speech Recognition