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.

This dataset was collected to develop and improve automatic speech recognition (ASR) systems that are accessible to people with speech disorders who speak Catalan.

Data Pulls Included

LREC-PAPER: 560 recordings
PILOT: 160 recordings

Dataset Statistics

Speakers: 72
Recordings: 720
Total Duration: 1.38 hours
Sampling Rate: 16 kHz
Audio Format: WAV
Language: Catalan (multiple dialects)

Disorder Distribution

Síndrome de Down: 410 recordings
Paràlisi cerebral: 240 recordings
Sense resposta: 50 recordings
Altres trastorns de la parla: 20 recordings

Gender Distribution

Dona: 390 recordings
Home: 320 recordings
Sense resposta: 10 recordings

Dialect Distribution

Central (Barcelona, Tarragona): 490 recordings
Septentrional: 130 recordings
Girona: 70 recordings
Nord-Occidental (Lleida, Tortosa): 30 recordings

Data Fields

audio: Audio file (WAV format, 16 kHz)
speaker_id: Unique identifier for each speaker (anonymized)
filename: Original filename of the recording
task_id: Task/prompt identifier
prompt: Text that was read/spoken
original_duration: Duration in seconds before preprocessing
trimmed_duration: Duration in seconds after preprocessing (2s cut from end)
category: Recording category (clean, duplicate, over_threshold)
reason: Additional category information
age: Age range of the speaker
gender: Gender of the speaker
disorder: Type of speech disorder
dialect: Catalan dialect variety
province: Province of residence
city: City of residence
hasHelper: Whether the speaker had assistance during recording
data_pull: Source data collection phase (e.g., PILOT, LREC-PAPER)

Data Collection

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.

Preprocessing

Each recording has 2 seconds trimmed from the end to remove silence
Duplicate recordings (same speaker, same task) were identified and marked
Recordings over 10 seconds were flagged for review

Data Splits

This is a test upload with 10 samples per speaker. This dataset includes all recordings (clean, duplicates, and over-threshold).

Ethical Considerations

All participants provided informed consent
Data is anonymized (speaker IDs do not contain personally identifiable information)
The dataset complies with GDPR regulations
This dataset should be used to improve accessibility technology for people with speech disorders

Citation

If you use this dataset, please cite:

[Citation information to be added]

Contact

For questions or access requests, please contact: [contact information]

License

This dataset is released under the Creative Commons Attribution 4.0 International License (CC-BY-4.0).

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