Jeylani-2526/SomaliAccentDB

A database project collecting and analyzing Somali accents in English speech # Somali_Accent_DB ## Overview Somali_Accent_DB is a linguistic dataset designed to capture variations in Somali speakers' pronunciation of English words. This dataset aims to support research in speech recognition, linguistic studies, and AI applications focused on Somali-accented English. ## Features - **Speech Collection**: Audio recordings from Somali speakers covering various regions and dialects. - **Metadata Annotations**: Each recording is labeled with speaker details such as age, gender, and regional background. - **Word Segmentation**: Audio files are processed into individual words for phonetic and linguistic analysis. - **Accent Analysis (Future Work)**: Planned integration of AI models for accent classification and speech recognition. - **Public Dataset (Future Goal)**: A structured, open-access database for researchers and developers working on Somali speech processing. ## Project Goals - To facilitate accent-aware speech recognition models. - To support linguistic studies on Somali-accented English. - To create an open-source dataset for research and educational purposes. ## Repository Structure ``` Somali_Accent_DB/ │-- Data/ # Contains recorded audio Voices │-- metadata/ # Speaker details and annotations │-- Scripts/ # Processing and Documentation files(in Turkish) │-- README.md # Project documentation ``` ## Usage Researchers and developers can utilize this dataset for: - Training and testing speech recognition systems. - Conducting linguistic analyses on Somali-accented English. - Enhancing natural language processing (NLP) models for diverse accents. ## How to Contribute We welcome contributions! If you’d like to contribute: 1. Fork the repository. 2. Submit recordings following the dataset guidelines. 3. Open a pull request for dataset improvements or additional features. ## License This dataset is released under the [appropriate open-source license]. Please ensure proper attribution when u …