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On the role of Lip Articulation in Visual Speech Perception

arXiv 2203.10117 ↗First posted 18 Mar 2022cs.SD cs.CV cs.GRcited by 1

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Abstract (arXiv)

Generating realistic lip motion from audio to simulate speech production is critical for driving natural character animation. Previous research has shown that traditional metrics used to optimize and assess models for generating lip motion from speech are not a good indicator of subjective opinion of animation quality. Devising metrics that align with subjective opinion first requires understanding what impacts human perception of quality. In this work, we focus on the degree of articulation and run a series of experiments to study how articulation strength impacts human perception of lip motion accompanying speech. Specifically, we study how increasing under-articulated (dampened) and over-articulated (exaggerated) lip motion affects human perception of quality. We examine the impact of articulation strength on human perception when considering only lip motion, where viewers are presented with talking faces represented by landmarks, and in the context of embodied characters, where viewers are presented with photo-realistic videos. Our results show that viewers prefer over-articulated lip motion consistently more than under-articulated lip motion and that this preference generalizes across different speakers and embodiments.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 12 of its 24 references that are in the map. First posted on arXiv 18 Mar 2022.

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12 of 24 references.

References · 12

  1. 2020A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wildcited by 669
  2. 2020One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencingcited by 438
  3. 2020MakeItTalk: Speaker-Aware Talking-Head Animationcited by 310
  4. 2019Few-Shot Adversarial Learning of Realistic Neural Talking Head Modelscited by 284
  5. 2018X2Face: A network for controlling face generation by using images, audio, and pose codescited by 189
  6. 2021Audio-Driven Emotional Video Portraitscited by 180
  7. 2019Realistic Speech-Driven Facial Animation with GANscited by 142
  8. 2020What comprises a good talking-head video generation?: A Survey and Benchmarkcited by 42
  9. 2020Modality Dropout for Improved Performance-driven Talking Facescited by 32
  10. 2018Generating Talking Face Landmarks from Speechcited by 15
  11. 2019Speaker-Independent Speech-Driven Visual Speech Synthesis using Domain-Adapted Acoustic Modelscited by 11
  12. 2020Audiovisual Speech Synthesis using Tacotron2cited by 5

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