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Speech representations impact 3D facial animation quality

Researchers have explored how different speech representations impact the quality of 3D facial animation. The study compared four families of speech representations, evaluating their effectiveness with two facial decoders using both objective and perceptual measures. Findings indicate that encoding phonetic classes within speech representations leads to more accurate facial animation predictions. AI

IMPACT This research could lead to more realistic and accurate AI-driven facial animation systems by optimizing the use of speech data.

RANK_REASON The cluster contains a research paper published on arXiv detailing an investigation into speech representations for 3D facial animation.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Pedro Correa, Olivier Perrotin, Samir Sadok, Paula Costa, Thomas Hueber ·

    From Tokens to Faces: Investigating Discrete Speech Representations for 3D Facial Animation

    arXiv:2606.13630v1 Announce Type: new Abstract: The choice of speech representation is critical in speech-driven 3D facial animation. Representations differ in what they encode: SSL features emphasize segmental and semantic cues, neural codecs yield latents optimized for acoustic…

  2. arXiv cs.CL TIER_1 English(EN) · Thomas Hueber ·

    From Tokens to Faces: Investigating Discrete Speech Representations for 3D Facial Animation

    The choice of speech representation is critical in speech-driven 3D facial animation. Representations differ in what they encode: SSL features emphasize segmental and semantic cues, neural codecs yield latents optimized for acoustic reconstruction, and ASR-style objectives produc…