Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slides

• URL: http://arxiv.org/abs/2504.15066v1
• Date: Mon, 21 Apr 2025 12:51:54 GMT
• Title: Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slides
• Authors: Jinghua Zhao, Yuhang Jia, Shiyao Wang, Jiaming Zhou, Hui Wang, Yong Qin,
• Abstract summary: We release a multimodal Chinese AVSR dataset, Chinese-LiPS, comprising 100 hours of speech, video, and corresponding manual transcription.<n>We develop a simple yet effective pipeline, LiPS-AVSR, which leverages both lip-reading and presentation slide information as visual modalities for AVSR tasks.<n>Experiments show that lip-reading and presentation slide information improve ASR performance by approximately 8% and 25%, respectively.
• Score: 12.148223089382816
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Incorporating visual modalities to assist Automatic Speech Recognition (ASR) tasks has led to significant improvements. However, existing Audio-Visual Speech Recognition (AVSR) datasets and methods typically rely solely on lip-reading information or speaking contextual video, neglecting the potential of combining these different valuable visual cues within the speaking context. In this paper, we release a multimodal Chinese AVSR dataset, Chinese-LiPS, comprising 100 hours of speech, video, and corresponding manual transcription, with the visual modality encompassing both lip-reading information and the presentation slides used by the speaker. Based on Chinese-LiPS, we develop a simple yet effective pipeline, LiPS-AVSR, which leverages both lip-reading and presentation slide information as visual modalities for AVSR tasks. Experiments show that lip-reading and presentation slide information improve ASR performance by approximately 8\% and 25\%, respectively, with a combined performance improvement of about 35\%. The dataset is available at https://kiri0824.github.io/Chinese-LiPS/

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