The Bikol Speech Dataset is a comprehensive collection of high-quality audio recordings from native Bikol speakers across Bicol Region of Philippines. This professionally curated dataset contains 100 hours of authentic Bikol speech data, meticulously annotated and structured for machine learning applications.
Bikol, spoken by over 3 million people in southeastern Luzon, is captured with its distinctive phonological features essential for developing accurate speech recognition systems. With balanced representation across gender and age groups, the dataset provides researchers with essential resources for building Bikol language models supporting Philippine linguistic diversity.
Dataset General Info
| Parameter | Details |
| Size | 100 hours |
| Format | MP3/WAV |
| Tasks | Speech recognition, AI training, voice assistant development, natural language processing, acoustic modeling, speaker identification |
| File size | 427 MB |
| Number of files | 733 files |
| Gender of speakers | Female: 54%, Male: 46% |
| Age of speakers | 18-30 years: 34%, 31-40 years: 23%, 40-50 years: 22%, 50+ years: 21% |
| Countries | Philippines (Bicol Region) |
Use Cases
Regional Development: Organizations in Bicol Region can utilize the Bikol Speech Dataset to develop voice-enabled regional services and development platforms. Voice technology makes services accessible to Bikol-speaking populations in southeastern Luzon.
Cultural Preservation: Cultural organizations can leverage this dataset to create archives of Bikol traditions and oral literature. Voice technology preserves Bikol linguistic and cultural heritage.
Disaster Preparedness: Organizations can employ this dataset to build emergency communication systems for typhoon-prone Bicol region, delivering critical information in native language.
FAQ
Q: What is included in the Bikol Speech Dataset?
A: The dataset includes 100 hours of audio recordings from native Bikol speakers. Contains 733 files in MP3/WAV format, totaling approximately 427 MB, with transcriptions, speaker demographics, and linguistic annotations.
Q: Why is Bikol speech technology important?
A: Bikol 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 54% female and 46% male speakers with age distribution: 34% (18-30), 23% (31-40), 22% (40-50), 21% (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.
