The Kapampangan Speech Dataset is a meticulously curated collection of high-quality audio recordings from native Kapampangan speakers in Pampanga province and central Luzon. This comprehensive linguistic resource features 185 hours of authentic Kapampangan speech data, professionally annotated and structured for advanced machine learning applications.
Kapampangan, spoken by over 2 million people with rich literary tradition, is captured with its distinctive phonological features crucial for developing accurate speech recognition technologies. Formatted in MP3/WAV with superior audio quality standards, this dataset empowers researchers working on Philippine regional language technology.
Dataset General Info
| Parameter | Details |
| Size | 185 hours |
| Format | MP3/WAV |
| Tasks | Speech recognition, AI training, voice assistant development, natural language processing, acoustic modeling, speaker identification |
| File size | 239 MB |
| Number of files | 778 files |
| Gender of speakers | Female: 45%, Male: 55% |
| Age of speakers | 18-30 years: 28%, 31-40 years: 22%, 40-50 years: 21%, 50+ years: 29% |
| Countries | Philippines (Pampanga province, central Luzon) |
Use Cases
Cultural Heritage Preservation: Organizations can utilize the Kapampangan Speech Dataset to develop digital archives of Kapampangan literature and traditions. Voice technology preserves rich cultural heritage of Pampanga province.
Regional Services: Provincial government can leverage this dataset to create voice-enabled services for central Luzon. Voice interfaces support Kapampangan linguistic identity and regional administration.
Education and Tourism: Educational institutions can employ this dataset to build language learning tools, while tourism operators can develop cultural heritage applications for Pampanga’s historical sites.
FAQ
Q: What is included in the Kapampangan Speech Dataset?
A: The dataset includes 185 hours of audio recordings from native Kapampangan speakers. Contains 778 files in MP3/WAV format, totaling approximately 239 MB, with transcriptions, speaker demographics, and linguistic annotations.
Q: Why is Kapampangan speech technology important?
A: Kapampangan represents a significant linguistic community. Speech technology enables voice interfaces serving this population, supports linguistic rights and cultural preservation, and makes technology accessible in native language.
Q: How diverse is the speaker demographic?
A: Dataset features 45% female and 55% male speakers with age distribution: 28% (18-30), 22% (31-40), 21% (40-50), 29% (50+).
How to Use the Speech Dataset
Step 1: Dataset Acquisition – Download the dataset package from the provided link.
Step 2: Extract and Organize – Extract to your storage and review the structured folder organization.
Step 3: Environment Setup – Install required 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.
For detailed documentation, refer to the included guides.
