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Computer Science > Computer Vision and Pattern Recognition

arXiv:2109.06692 (cs)
[Submitted on 14 Sep 2021]

Title:LRWR: Large-Scale Benchmark for Lip Reading in Russian language

Authors:Evgeniy Egorov, Vasily Kostyumov, Mikhail Konyk, Sergey Kolesnikov
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Abstract:Lipreading, also known as visual speech recognition, aims to identify the speech content from videos by analyzing the visual deformations of lips and nearby areas. One of the significant obstacles for research in this field is the lack of proper datasets for a wide variety of languages: so far, these methods have been focused only on English or Chinese. In this paper, we introduce a naturally distributed large-scale benchmark for lipreading in Russian language, named LRWR, which contains 235 classes and 135 speakers. We provide a detailed description of the dataset collection pipeline and dataset statistics. We also present a comprehensive comparison of the current popular lipreading methods on LRWR and conduct a detailed analysis of their performance. The results demonstrate the differences between the benchmarked languages and provide several promising directions for lipreading models finetuning. Thanks to our findings, we also achieved new state-of-the-art results on the LRW benchmark.
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
Cite as: arXiv:2109.06692 [cs.CV]
  (or arXiv:2109.06692v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2109.06692

Submission history

From: Sergey Kolesnikov [view email]
[v1] Tue, 14 Sep 2021 13:51:19 UTC (1,594 KB)
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