🔊 Speech-RATE Dataset

📋 Overview

Speech-RATE is a curated dataset derived from CT-RATE, designed to support research at the intersection of speech and medical imaging. It provides high-quality, synthetically generated audio recordings of radiology reports from CT-RATE. Combined with the original CT-RATE dataset, Speech-RATE enables the development and evaluation of multimodal models that integrate speech and CT imaging data.

📂 Dataset Structure

The Speech-RATE dataset is organized as follows:

Speech-RATE/
├── dataset/
│   ├── train/
│   │   ├── path_to_sample_001/file_name.wav
│   │   ├── path_to_sample_002/file_name.wav
│   │   └── ...
│   └── valid/
│       ├── path_to_sample_001/file_name.wav
│       ├── path_to_sample_002/file_name.wav
│       └── ...
├── speech-classification/
│   ├── train/
│   │   ├── path_to_sample_001/file_name.wav
│   │   ├── path_to_sample_002/file_name.wav
│   │   └── ...
│   └── valid/
│       ├── path_to_sample_001/file_name.wav
│       ├── path_to_sample_002/file_name.wav
│       └── ...
├── metadata/
│   ├── train.csv
│   └── valid.csv
└── README.md

📝 Directory Descriptions

• dataset/: Contains .wav audio files organized like in CT-RATE
• speech-classification/: Data used to run speech-only classification tasks (based on CT-RATE text classifier)
• metadata/: Additional information including speaker gender, speed, and other relevant metadata

📚 Citations

If you use the Speech-RATE dataset in your research, please cite the following papers:

@article{speech_rate_2025,
  title={Speech-RATE: A Comprehensive Dataset for Speech Rate Analysis and Synthesis},
  author={[Author Names]},
  journal={[Journal Name]},
  year={2025},
  volume={[Volume]},
  pages={[Pages]},
  doi={[DOI]}
}

@article{hamamci2024developing,
  title={Developing generalist foundation models from a multimodal dataset for 3d computed tomography},
  author={Hamamci, Ibrahim Ethem and Er, Sezgin and Wang, Chenyu and Almas, Furkan and Simsek, Ayse Gulnihan and Esirgun, Sevval Nil and Doga, Irem and Durugol, Omer Faruk and Dai, Weicheng and Xu, Murong and others},
  journal={arXiv preprint arXiv:2403.17834},
  year={2024}
}

📄 License

We are committed to fostering innovation and collaboration in the research community. To this end, all elements of the CT-RATE dataset are released under a Creative Commons Attribution (CC-BY-NC-SA) license. This licensing framework ensures that our contributions can be freely used for non-commercial research purposes, while also encouraging contributions and modifications, provided that the original work is properly cited and any derivative works are shared under similar terms.

🙏 Acknowledgements

We gratefully acknowledge the scientific support and HPC resources provided by the Erlangen National High Performance Computing Center (NHR@FAU) of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). The hardware is funded by the German Research Foundation (DFG). This work was partially funded via the EVUK programme (“Next-generation AI for Integrated Diagnostics”) of the Free State of Bavaria, the Deutsche Forschungsgemeinschaft (DFG).

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