Usage
This dataset is designed to support the development of Text-to-Speech (TTS) systems for the Afar language. It can be integrated into web applications, mobile apps, desktop software, or other platforms that require natural-sounding Afar voice synthesis or accurate spoken language recognition.
For applications involving virtual avatars or voice personas, the following culturally appropriate voice names are recommended:
Female Voices: Emeli, Hanaawi, Kareera, Laysani, Kulsuma
Male Voices: Dimis, Reedo, Malko, Ayfarah, Kaamil
These names may be used to label or identify voice profiles in user interfaces, enhancing user experience and cultural relevance.
Author
Created by Charif Ayfarah
Speaker (Audio voice): Charif Ayfarah
Contact: afbarit@gmail.com
MyVoice TTS Dataset (Single Speaker)
A high-quality, single-speaker Afar speech dataset recorded for open-source Text-to-Speech (TTS) research and development.
Data Details
- Speaker ID: SPK001 (Single Speaker)
- Gender: Male
- Native language: Afar
- Audio Format: Uncompressed WAV (PCM)
- Transcriptions: Plain Afar text with punctuation.
- Sample Rate: 48 kHz
- Bit Depth: 16-bit
- Channels: Mono
- Recording Environment: Quiet office studio.
- Content: Sentences collected from custom scripts, public domain sources.
License
Licensed under CC BY 4.0. You are free to use, modify, and distribute this dataset, including for commercial purposes, as long as you give appropriate credit.
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