Speech is often the most natural way we communicate with each other and voice technologies are bringing that convenience to our computers and mobile devices. We want to empower developers to build amazing voice recognition applications like real-time translators and voice-enabled digital assistants. But right now most of the voice data required to build these kinds of apps is expensive and proprietary. We hope the Common Voice dataset will give developers what they need to innovate and make speech technology available in their own language.  To make voice recognition even more universal, we're collecting voice samples in widely spoken languages as well as those with a smaller population of speakers often underserved by commercial speech recognition services. Publishing a diverse dataset of voices will empower developers, entrepreneurs, and entire speech communities to address this gap themselves.
ⵍⴰ ⴱⴰⵀⵔⴰ ⵉⵜⵜⴳⴳⴰ ⵡⴰⵡⴰⵍ ⵜⴰⵖⴰⵔⴰⵙⵜ ⵜⴰⴳⴰⵎⴰⵏⵜ ⴰⴽⴽⵯ ⵏⵏⴰ ⵙ ⵏⵜⵜⵎⵢⴰⵡⴰⴹ ⴰⴽⴷ ⵉⵏⴳⵔⴰⵜⵏⵖ, ⵍⴰ ⴷ ⵜⵜⴰⵡⵢⵏⵜ ⵜⴻⵜⵉⴽⵏⵓⵍⵓⵊⵉⵢⵉⵏ ⵜⵉⴳⵕⴹⴰⵏⵉⵏ ⴰⵙⵓⵏⴼⵓ ⴰⴷ ⵉ ⵉⵎⵙⵙⵓⴷⵙⵏ ⴷ ⵡⴰⵍⵍⴰⵍⵏ ⵉⵎⵓⴱⵉⵍⵏ ⵏⵏⵖ. ⵏⵅⵙ ⴰⴷ ⵏⵙⵙⵓⵔⴳ ⵉⵎⵙⵖⵉⵡⵙⵏ ⴰⴷ ⵥⴽⵓⵏ ⵜⵉⵙⵏⵙⵉⵜⵉⵏ ⵏ ⵜⵓⴽⵣⴰ ⵜⴰⴳⵕⴹⴰⵏⵜ ⵜⵉⵎⵣⴰⵢⵍⴰⵍⵉⵏ ⵣⵓⵏ ⴷ ⵉⵎⵙⵙⵓⵖⵍⵏ ⵉⴷⵖⵢⴰⵏⵏ ⴷ ⵉⵎⴰⵡⴰⵙⵏ ⵉⵎⵓⵟⵟⵓⵏⵏ ⵉⵣⵎⵔⴰⵡⴰⵍⵏ. ⵎⴰⵛⴰ ⴰⵎⴰⵜⴰ ⵏ ⵉⵙⴼⴽⴰ ⵉⴳⵕⴹⴰⵏⵏ ⵍⵍⵉ ⴷ ⵉⵇⵇⴰⵏⵏ ⵉ ⵓⵥⴽⴽⵓ ⵏ ⵡⴰⵏⴰⵡⵏ ⵏ ⵜⵙⵏⵙⵉⵡⵉⵏ ⴰⴷ ⵖⵍⴰⵏ ⴷ ⵜⵜⵓⵍⴰⵏ ⵖⵉⴽⴽ. ⵏⴻⵏⵏⵓⵔⵣ ⴰⴷ ⵜⴼⴽ ⵜⴳⵔⵓⵎⵎⴰ ⵏ ⵉⵙⴼⴽⴰ ⵏ ⴽⴰⵎⵏⴼⵓⵢⵙ ⵉ ⵉⵎⵙⵖⵉⵡⵙⵏ ⴰⵢⵏⵏⴰ ⵓⵙⵔⵏ ⵃⵎⴰ ⴰⴷ ⵙⵏⴼⵍⵓⵍⵏ, ⵙⴽⵔⵏ ⵉ ⵜⴻⵜⵉⴽⵏⵓⵍⵓⵊⵉⵜ ⵜⴰⴳⵕⴹⴰⵏⵜ ⴰⴷ ⵜⵙⴰⴳⴰ ⴳ ⵜⵓⵜⵍⴰⵢⵜ ⵏⵏⵙⵏ.  ⵃⵎⴰ ⴰⴷ ⵏⵙⴽⵔ ⴳ ⵜⵓⴽⵣⴰ ⵜⴰⴳⵕⴹⴰⵏⵜ ⵜⴰⵖⵣⵓⵔⴰⵏⵜ ⵓⴳⴳⴰⵔ, ⵍⴰ ⵏⴳⵔⵔⵓ ⵜⵓⵙⵙⵉⴼⵉⵏ ⵜⵉⴳⵕⴹⴰⵏⵉⵏ ⴳ ⵜⵓⵜⵍⴰⵢⵉⵏ ⵜⵉⵎⵇⵇⵔⴰⵏⵉⵏ ⵎⴽⴰⵏⵏ ⴷ ⵜⵉⵏⵏⴰ ⵎⵉ ⵉⵎⵥⵥⵉⵢ ⵓⴳⴷⵓⴷ ⵏ ⵉⵎⵙⵙⵉⵡⵍⵏ ⴷ ⵓⵔ ⴰⵙⵏⵜ ⴱⴰⵀⵔⴰ ⵙⴰⴳⴰⵏⵜ ⵜⵏⵓⴼⴰ ⵏ ⵜⵓⴽⵣⴰ ⵏ ⵡⴰⵡⴰⵍ ⵜⵉⵏⵙⴱⴰⴱⵉⵏ. ⵔⴰⴷ ⵉⵙⵙⵓⵔⴳ ⵓⴼⵙⴰⵔ ⵏ ⵢⴰⵜ ⵜⴳⵔⵓⵎⵎⴰ ⵏ ⵉⵙⴼⴽⴰ ⵉⴳⵕⴹⴰⵏⵏ ⵉⵎⵢⴰⵏⴰⵡⵏ ⵉ ⵉⵎⵙⵖⵉⵡⵙⵏ, ⵉⵎⵙⵙⵏⵜⵉⵢⵏ, ⴷ ⵜⴳⵔⴰⵡⵉⵏ ⵏ ⵡⴰⵡⴰⵍ ⴰⴽⴽⵯ ⴰⴷ ⵇⵇⵏⵏ ⴰⵙⵜⵜⵉⵖ ⴰⴷ ⵙ ⵢⵉⵎⴰⵏ ⵏⵏⵙⵏ.