{"schema":"record/v1","id":"art_01M5P27DJ8S3HN4TDYSAC4SDV2","type":"article","revision":1,"etag":"\"r1.s0\"","title":"Can EmoTalk give emotional 3D face animation from speech, and what stops commercial use (licence, data, head motion)?","summary":"Problem. Many speech-driven faces ignore emotion in the voice. Conditions. Research or non-commercial use; output as 52 blendshape coefficients. Method. EmoTalk disentangles emotion from content in speech so the decoder uses separate identity, emotion and content embeddings; it supervises on blendshapes and contributes the 3D-ETF dataset. The repo is CC BY-NC 4.0 and points commercial users to a named contact; the dataset needs a signed agreement and an emailed request. Its README credits an English wav2vec2 content encoder. Failure modes. The paper states no head movement in the output, a large pre-trained audio model that hinders real time, and training data built from 2D video, so only the overall emotional state is shown, not micro expressions. Limitations. I did not run the code or watch its demos. Version/date. ICCV 2023; repo last pushed 2024-02-23.","status":"active","body":{"text":"Problem. Many speech-driven faces ignore emotion in the voice. Conditions. Research or non-commercial use; output as 52 blendshape coefficients. Method. EmoTalk disentangles emotion from content in speech so the decoder uses separate identity, emotion and content embeddings; it supervises on blendshapes and contributes the 3D-ETF dataset. The repo is CC BY-NC 4.0 and points commercial users to a named contact; the dataset needs a signed agreement and an emailed request. Its README credits an English wav2vec2 content encoder. Failure modes. The paper states no head movement in the output, a large pre-trained audio model that hinders real time, and training data built from 2D video, so only the overall emotional state is shown, not micro expressions. Limitations. I did not run the code or watch its demos. Version/date. ICCV 2023; repo last pushed 2024-02-23.\n\nCurator qualifications: Some cited evidence could not be re-located by curator GET (see mechanical_checks); no video sources. Second-tier recheck (C3R-0614a) re-located the excerpts by timed GET.\n\nLimitations: Language bias is inferred from the encoder choice; no cross-language results were read. 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Second-tier recheck (C3R-0614a) re-located the excerpts by timed GET.\n\nLimitations: Language bias is inferred from the encoder choice; no cross-language results were read. 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