arvinsingh/welsh-speech-3d-meshes

Welsh Speech Dataset - 3D Facial Meshes

3D facial reconstructions from the Welsh Speech Dataset.

Contents

• 3D meshes (.obj files) - One per frame
• Texture maps (.png files) - Fused left-right stereo images from 3DMD
• Captured using 3DMD 6-camera system
• ~330 zip files (one per speaker-phrase sequence)

File Structure

Files are organized as zip archives in the meshes/ directory, one zip per speaker-phrase sequence:

meshes/
├── speaker_01_phrase_01.zip
├── speaker_01_phrase_02.zip
├── ...
└── speaker_33_phrase_10.zip

Each zip contains frame files with simple naming:

speaker_01_phrase_01.zip
├── 001.obj
├── 001.png
├── 002.obj
├── 002.png
└── ...

Texture Maps

The PNG files contain fused left-right stereo image pairs captured by the 3DMD system, side-by-side in a single image.

Preview

3D Mesh Rotation	Texture Map

Metadata

See metadata.csv for sequence-level information:

Column	Description
speaker_id	Speaker identifier (1-33)
phrase_id	Phrase identifier (1-10)
zip_path	Path to zip file
num_frames	Number of frames in the zip
fluency_score	Pronunciation quality score (0-5)
welsh_text	Welsh phrase text
english_translation	English translation

Related Repositories

• Main: arvinsingh/welsh-speech-dataset
• Audio: arvinsingh/welsh-speech-audio
• Landmarks: arvinsingh/welsh-speech-landmarks

Usage

from huggingface_hub import hf_hub_download
import zipfile
import os

# download specific sequence zip
zip_path = hf_hub_download(
    repo_id="arvinsingh/welsh-speech-3d-meshes",
    filename="meshes/speaker_01_phrase_01.zip",
    repo_type="dataset"
)

# extract
extract_dir = "speaker_01_phrase_01"
with zipfile.ZipFile(zip_path, 'r') as zf:
    zf.extractall(extract_dir)

for f in sorted(os.listdir(extract_dir)):
    print(f)  # 001.obj, 001.png, 002.obj, ...

Working with meshes in memory (without extracting)

import zipfile
import trimesh  # pip install trimesh
from io import BytesIO

with zipfile.ZipFile(zip_path, 'r') as zf:
    # read specific frame's mesh
    obj_data = zf.read("001.obj")
    mesh = trimesh.load(BytesIO(obj_data), file_type='obj')
    print(f"Vertices: {len(mesh.vertices)}, Faces: {len(mesh.faces)}")

Citation

If you use this dataset, please cite both the paper and the dataset:

@inproceedings{bali_2026_cymrufluency,
  author       = {Bali, Arvinder Pal Singh and Tam, Gary KL and Siris, Avishek and Andrews, Gareth and Lai, Yukun and Tiddeman, Bernie and Ffrancon, Gwenno},
  title        = {CymruFluency - A Fusion Technique and a 4D Welsh Dataset for Welsh Fluency Analysis},
  booktitle    = {Advanced Concepts for Intelligent Vision Systems},
  pages        = {96--108},
  year         = 2026,
  publisher    = {Springer Nature Switzerland},
  doi          = {10.1007/978-3-032-07343-3_8},
}

@dataset{bali_2025_dataset,
  author       = {Bali, Arvinder Pal Singh and Tam, Gary KL and Siris, Avishek and Andrews, Gareth and Lai, Yukun and Tiddeman, Bernie and Ffrancon, Gwenno},
  title        = {Dataset and code for "CymruFluency"},
  year         = 2025,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.15397513},
}