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Automated Speaker Independent Visual Speech Recognition: A Comprehensive Survey

arXiv 2306.08314 ↗First posted 14 Jun 2023cs.CV cs.AIcited by 0

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Abstract (arXiv)

Speaker-independent VSR is a complex task that involves identifying spoken words or phrases from video recordings of a speaker's facial movements. Over the years, there has been a considerable amount of research in the field of VSR involving different algorithms and datasets to evaluate system performance. These efforts have resulted in significant progress in developing effective VSR models, creating new opportunities for further research in this area. This survey provides a detailed examination of the progression of VSR over the past three decades, with a particular emphasis on the transition from speaker-dependent to speaker-independent systems. We also provide a comprehensive overview of the various datasets used in VSR research and the preprocessing techniques employed to achieve speaker independence. The survey covers the works published from 1990 to 2023, thoroughly analyzing each work and comparing them on various parameters. This survey provides an in-depth analysis of speaker-independent VSR systems evolution from 1990 to 2023. It outlines the development of VSR systems over time and highlights the need to develop end-to-end pipelines for speaker-independent VSR. The pictorial representation offers a clear and concise overview of the techniques used in speaker-independent VSR, thereby aiding in the comprehension and analysis of the various methodologies. The survey also highlights the strengths and limitations of each technique and provides insights into developing novel approaches for analyzing visual speech cues. Overall, This comprehensive review provides insights into the current state-of-the-art speaker-independent VSR and highlights potential areas for future research.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 22 of its 182 references that are in the map. First posted on arXiv 14 Jun 2023.

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22 of 182 references.

References · 22

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10 more
  1. 2020Face Mask Detection using Transfer Learning of InceptionV3cited by 23
  2. 2023Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognitioncited by 14
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