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--- |
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language: |
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- ca |
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license: cc-by-4.0 |
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task_categories: |
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- automatic-speech-recognition |
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- audio-classification |
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size_categories: |
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- 1K<n<10K |
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pretty_name: RAPNIC Combined Dataset |
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tags: |
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- speech |
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- catalan |
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- accessibility |
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- speech-disorders |
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- cerebral-palsy |
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- down-syndrome |
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--- |
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# RAPNIC Combined Dataset |
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## Dataset Description |
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RAPNIC (Reconeixement Automàtic de la Parla per a persones amb Necessitats específIques en Comunicació) is a Catalan speech corpus collected from individuals with speech disorders, specifically cerebral palsy and Down syndrome. |
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This dataset was collected to develop and improve automatic speech recognition (ASR) systems that are accessible to people with speech disorders who speak Catalan. |
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### Data Pulls Included |
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- **LREC-PAPER**: 560 recordings |
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- **PILOT**: 160 recordings |
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### Dataset Statistics |
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- **Speakers**: 72 |
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- **Recordings**: 720 |
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- **Total Duration**: 1.38 hours |
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- **Sampling Rate**: 16 kHz |
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- **Audio Format**: WAV |
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- **Language**: Catalan (multiple dialects) |
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### Disorder Distribution |
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- **Síndrome de Down**: 410 recordings |
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- **Paràlisi cerebral**: 240 recordings |
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- **Sense resposta**: 50 recordings |
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- **Altres trastorns de la parla**: 20 recordings |
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### Gender Distribution |
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- **Dona**: 390 recordings |
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- **Home**: 320 recordings |
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- **Sense resposta**: 10 recordings |
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### Dialect Distribution |
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- **Central (Barcelona, Tarragona)**: 490 recordings |
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- **Septentrional**: 130 recordings |
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- **Girona**: 70 recordings |
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- **Nord-Occidental (Lleida, Tortosa)**: 30 recordings |
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## Data Fields |
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- `audio`: Audio file (WAV format, 16 kHz) |
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- `speaker_id`: Unique identifier for each speaker (anonymized) |
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- `filename`: Original filename of the recording |
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- `task_id`: Task/prompt identifier |
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- `prompt`: Text that was read/spoken |
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- `original_duration`: Duration in seconds before preprocessing |
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- `trimmed_duration`: Duration in seconds after preprocessing (2s cut from end) |
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- `category`: Recording category (clean, duplicate, over_threshold) |
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- `reason`: Additional category information |
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- `age`: Age range of the speaker |
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- `gender`: Gender of the speaker |
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- `disorder`: Type of speech disorder |
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- `dialect`: Catalan dialect variety |
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- `province`: Province of residence |
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- `city`: City of residence |
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- `hasHelper`: Whether the speaker had assistance during recording |
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- `data_pull`: Source data collection phase (e.g., PILOT, LREC-PAPER) |
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## Data Collection |
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The data was collected using a web-based recording platform adapted from Google's Project Euphonia. Participants recorded themselves reading prompts displayed on the screen. |
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### Preprocessing |
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- Each recording has 2 seconds trimmed from the end to remove silence |
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- Duplicate recordings (same speaker, same task) were identified and marked |
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- Recordings over 10 seconds were flagged for review |
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### Data Splits |
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This is a test upload with 10 samples per speaker. |
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This dataset includes all recordings (clean, duplicates, and over-threshold). |
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## Ethical Considerations |
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- All participants provided informed consent |
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- Data is anonymized (speaker IDs do not contain personally identifiable information) |
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- The dataset complies with GDPR regulations |
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- This dataset should be used to improve accessibility technology for people with speech disorders |
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## Citation |
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If you use this dataset, please cite: |
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``` |
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[Citation information to be added] |
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``` |
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## Contact |
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For questions or access requests, please contact: [contact information] |
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## License |
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This dataset is released under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). |
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