The Sudanese Arabic Speech Dataset is a professionally compiled collection of high-fidelity audio recordings featuring native Sudanese Arabic speakers from Sudan and South Sudan. This comprehensive dataset includes 141 hours of authentic Sudanese Arabic speech data meticulously transcribed and structured for cutting-edge machine learning applications. Sudanese Arabic, spoken by over 30 million people with distinctive features differing from other Arabic varieties, is captured with phonological characteristics critical for developing effective speech recognition models.
Dataset General Info
| Parameter | Details |
| Size | 141 hours |
| Format | MP3/WAV |
| Tasks | Speech recognition, AI training, voice assistant development, natural language processing, acoustic modeling, speaker identification |
| File size | 293 MB |
| Number of files | 877 files |
| Gender of speakers | Female: 53%, Male: 47% |
| Age of speakers | 18-30 years: 25%, 31-40 years: 30%, 40-50 years: 19%, 50+ years: 26% |
| Countries | Sudan, South Sudan |
Use Cases
Post-Conflict Reconstruction Services: Sudanese government agencies and NGOs can utilize the Sudanese Arabic Speech Dataset to develop humanitarian communication systems, reconstruction coordination platforms, and public information services following conflicts. Voice technology enables effective communication during rebuilding efforts, supports humanitarian assistance delivery, facilitates community engagement in reconstruction, and enables information dissemination in local Arabic variety understood by all Sudanese. Applications include displacement services, humanitarian aid coordination, peacebuilding platforms, and reconstruction program delivery.
Agricultural and Rural Development: Agricultural organizations across Sudan can leverage this dataset to create voice-based farming advisory systems, livestock management guidance, and rural development platforms in Sudanese Arabic. Voice technology delivers agricultural information to farming communities across vast Sudanese territory, supports food security initiatives, enables market access for rural producers, and facilitates agricultural development in both Sudan and South Sudan. Applications include crop guidance for sorghum and sesame, livestock advice, irrigation information, market prices, weather services, and agricultural extension.
Healthcare and Public Health: Healthcare providers and public health organizations can employ this dataset to develop voice-enabled health information systems, telemedicine platforms, and disease prevention tools in Sudanese Arabic. Voice technology improves healthcare accessibility across Sudan’s diverse regions, supports maternal health programs, enables disease surveillance and response, and facilitates health education. Applications include health hotlines, medical information systems, vaccination campaigns, maternal health guidance, and telemedicine consultations serving populations across Sudan and South Sudan.
FAQ
Q: What is included in this dataset?
A: The dataset includes 141 hours of audio recordings with 877 files totaling 293 MB, complete with transcriptions and linguistic annotations.
Q: How diverse is the speaker demographic?
A: Features 53% female and 47% male speakers across age groups: 25% (18-30), 30% (31-40), 19% (40-50), 26% (50+).
How to Use the Speech Dataset
Step 1: Dataset Acquisition – Download the dataset package from the provided link upon purchase.
Step 2: Extract and Organize – Extract to your storage and review the structured folder organization.
Step 3: Environment Setup – Install ML framework dependencies and audio processing libraries.
Step 4: Data Preprocessing – Load audio files and apply preprocessing steps like resampling and feature extraction.
Step 5: Model Training – Split into training/validation/test sets and train your model.
Step 6: Evaluation and Fine-tuning – Evaluate performance and iterate on architecture.
Step 7: Deployment – Export and integrate your trained model into production systems.
For comprehensive documentation, refer to included guides.
