Charif-Ayfarah/Afar-language-speech-transcription
Usage This dataset is designed to support the development of text-to-speech (TTS) and speech-to-text (STT) 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… See the full description on the dataset page: https://huggingface.co/datasets/Charif-Ayfarah/Afar-language-speech-transcription.
Usage
This dataset is designed to support the development of text-to-speech (TTS) and speech-to-text (STT) 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.
Contact: afbarit@gmail.com
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.