The Hiligaynon Speech Dataset is a comprehensive collection of high-quality audio recordings from native Hiligaynon speakers across Western Visayas region. This professionally curated dataset contains 165 hours of authentic Hiligaynon speech data, meticulously annotated and structured for machine learning applications.
Hiligaynon, spoken by over 9 million people in Iloilo, Negros Occidental, and surrounding areas, is captured with its distinctive phonological features essential for developing accurate speech recognition systems. The audio files are delivered in MP3/WAV format with consistent quality standards, supporting Philippine regional language technology development.
Dataset General Info
| Parameter | Details |
| Size | 165 hours |
| Format | MP3/WAV |
| Tasks | Speech recognition, AI training, voice assistant development, natural language processing, acoustic modeling, speaker identification |
| File size | 441 MB |
| Number of files | 503 files |
| Gender of speakers | Female: 53%, Male: 47% |
| Age of speakers | 18-30 years: 33%, 31-40 years: 28%, 40-50 years: 17%, 50+ years: 22% |
| Countries | Philippines (Western Visayas) |
Use Cases
Regional Commerce and Services: Organizations in Western Visayas can utilize the Hiligaynon Speech Dataset to develop business platforms and regional services. Voice technology supports commerce and governance for over 9 million Hiligaynon speakers.
Cultural Documentation: Cultural organizations can leverage this dataset to preserve Hiligaynon literary traditions and oral heritage. Voice technology maintains cultural identity for Iloilo and Negros communities.
Educational Technology: Educational institutions can employ this dataset to build learning applications supporting mother-tongue education in Western Visayas region.
FAQ
Q: What is included in the Hiligaynon Speech Dataset?
A: The dataset includes 165 hours of audio recordings from native Hiligaynon speakers. Contains 503 files in MP3/WAV format, totaling approximately 441 MB, with transcriptions, speaker demographics, and linguistic annotations.
Q: Why is Hiligaynon speech technology important?
A: Hiligaynon 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 53% female and 47% male speakers with age distribution: 33% (18-30), 28% (31-40), 17% (40-50), 22% (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.
