🇸🇳Senegal

A 125-hour transcribed speech dataset in Wolof, Pulaar and Sereer (the three most widely spoken languages of Senegal) focused on agriculture, built for ASR development. Led by Jokalante with Orange Innovation and Ecole Polytechnique de Thies, funded by Lacuna Fund.

xTTS-v2-wolof is a text-to-speech model for Wolof built by GalsenAI by fine-tuning Coqui's xTTS v2 on the cleaned Anta Women Wolof TTS dataset. It synthesizes Wolof speech and can clone a voice from a reference clip as short as 6 seconds. It was developed by the GalsenAI community in Senegal.