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--- |
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size_categories: |
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- 100K<n<1M |
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license: cc-by-sa-4.0 |
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language: |
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- en |
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tags: |
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- asr-dataset |
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- speech-to-text |
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- audio-transcription |
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- english |
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- speech-recognition |
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- synthetic-data |
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pretty_name: >- |
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United-MedSyn – a specialized medical speech dataset designed to enhance |
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Automatic Speech Recognition (ASR) systems in the healthcare sector. |
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viewer: false |
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--- |
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# United-MedSyn Dataset |
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## Description |
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The **United-MedSyn** dataset is a specialized medical speech dataset designed to evaluate and improve Automatic Speech Recognition (ASR) systems within the healthcare domain. It comprises English medical speech recordings, with a particular focus on medical terminology and clinical conversations. The dataset is well-suited for various ASR tasks, including **speech recognition**, **transcription**, and **classification**, facilitating the development of models tailored for medical contexts. |
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This dataset supports a broad range of applications, including medical documentation automation, transcription of doctor-patient conversations, and medical knowledge extraction from audio data. |
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## Key Features |
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- **Language**: English (`en`) |
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- **Task Categories**: |
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- Automatic Speech Recognition (ASR) |
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- Audio Transcription |
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- Speech Classification |
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- **Dataset Size**: 100K < n < 1M |
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- **License**: Creative Commons Attribution 4.0 International (CC BY 4.0) |
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## Tags |
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- `asr-dataset` |
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- `speech-to-text` |
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- `audio-transcription` |
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- `english` |
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- `speech-recognition` |
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## Usage |
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This dataset can be used for a wide range of speech-related tasks, particularly within the healthcare domain: |
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- Training and evaluating ASR models specific to medical terminology. |
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- Improving speech-to-text accuracy for medical conversations. |
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- Medical speech classification tasks. |
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### Example Use Cases: |
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1. **ASR Model Training**: Use the dataset to train models that convert spoken medical language into accurate text transcriptions. |
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2. **Medical Documentation**: Automate the transcription of clinical conversations or medical dictations. |
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3. **Speech Classification**: Classify various medical terms or conversation types from audio data. |
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## License |
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The dataset is released under the [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/). You are free to: |
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- Share — copy and redistribute the material in any medium or format. |
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- Adapt — remix, transform, and build upon the material for any purpose, even commercially. |
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Under the following terms: |
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- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. |
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--- |
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## Citation |
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If you use the **United-MedSyn** dataset in your research, please cite it as follows: |
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``` |
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@dataset{united_medsyn, |
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title={United-MedSyn: Medical Speech Dataset for ASR}, |
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author={United We Care}, |
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year={2024}, |
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license={CC BY 4.0} |
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} |
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``` |
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--- |
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### Contact |
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For any questions or issues regarding the dataset, please contact us at: [[email protected]]. |
