m-hamza-mughal/beat2-additional-annotations

BEAT2 Official Release + Additional Annotations

This is a fork of H-Liu1997/BEAT2 that adds annotations contributed by the RAG-Gesture (CVPR 2025) and MIBURI (CVPR 2026) projects. The base BEAT2-English data (motion, audio, TextGrids, semantic labels, pretrained motion-autoencoder weights) is inherited verbatim from upstream; the additional annotations from RAG-Gesture and MIBURI are pushed on top.

Citations

If you use only the original BEAT2 dataset, please cite the original BEAT/EMAGE paper:

@inproceedings{liu2024emage,
  title={Emage: Towards unified holistic co-speech gesture generation via expressive masked audio gesture modeling},
  author={Liu, Haiyang and Zhu, Zihao and Becherini, Giorgio and Peng, Yichen and Su, Mingyang and Zhou, You and Zhe, Xuefei and Iwamoto, Naoya and Zheng, Bo and Black, Michael J},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={1144--1154},
  year={2024}
}

If you use the additional annotations of discourse relations (discourse_rels/) or prominence (prom/), please also cite RAG-Gesture:

@inproceedings{mughal2025retrieving,
  title={Retrieving semantics from the deep: an rag solution for gesture synthesis},
  author={Mughal, M Hamza and Dabral, Rishabh and Scholman, Merel CJ and Demberg, Vera and Theobalt, Christian},
  booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
  pages={16578--16588},
  year={2025}
}

If you use the 25 fps SMPL-X + FLAME (smplxflame_25/), please consider citing MIBURI:

@InProceedings{mughal2026miburi,
    title={MIBURI: Towards Expressive Interactive Gesture Synthesis},
    author={M. Hamza Mughal and Rishabh Dabral and Vera Demberg and Christian Theobalt},
    booktitle={Computer Vision and Pattern Recognition (CVPR)},
    year={2026}
}

Contents

Original BEAT2-English dataset (inherited from upstream H-Liu1997/BEAT2):

• smplxflame_30/ — SMPL-X body + FLAME expressions at 30 fps
• textgrid/ — phoneme + word TextGrid alignments
• wave16k/ — 16 kHz mono audio
• emotion label
• sem/ — semantic annotation
• weights/ — pretrained CNN-based motion autoencoders for BEAT (used by the FGD metric)

New data annotations by the RAG-Gesture & MIBURI projects (pushed in this fork):

• discourse_rels/ — discourse relations (RAG-Gesture)
• prom/ — prominence values (RAG-Gesture)
• smplxflame_25/ — 25 fps version of the 30 fps SMPL-X + FLAME body (MIBURI)
• whisper_transcription/ — Whisper transcripts that recover casing and punctuation that the upstream TextGrid normalization removed (MIBURI)

License

This repository carries the upstream Apache 2.0 license from H-Liu1997/BEAT2. The RAG-Gesture and MIBURI annotations are released under the same Apache 2.0 license for ease of downstream reuse.

Missing Data

These takes are missing from the original BEAT2-English release; the fork inherits that gap:

9_miranda_0_1_8
15_carlos_0_6_6, 15_carlos_0_12_12
21_ayana_0_1_8
6_carla_0_1_48
23_hailing_0_73_74
25_goto_0_1_1, 25_goto_0_5_5

Speaker Name

lut = {
    "wayne": 1,
    "scott": 2,
    "kieks": 10,
    "nidal": 11,
    "lu": 13,
    "zhao": 12,
    # "zhang": 14,
    "carlos": 15,
    "jorge": 16,
    "itoi": 17,
    "daiki": 18,
    # "jaime": 19,
    "li": 20,
    "ayana": 21,
    "luqi": 22,
    "hailing": 23,
    "kexin": 24,
    "goto": 25,
    # "reamey": 26,
    "yingqing": 27,
    "tiffnay": 28,
    # "hanieh": 29,
    "katya": 30,
    "solomon": 3,
    "lawrence": 4,
    "stewart": 5,
    "carla": 6,
    "sophie": 7,
    # "catherine": 8,
    "miranda": 9,
}