<translate> Puo hangata ke tsela ya tlhaho eo re buisag mmoho ka eona mme dithekenoloji tsa lentswe di tlisa boiketlo boo ba puisano ho dikhomphuta le disebediswa tsa mohala tsa rona. Re batla ho matlafatsa batho ba ntlafatsang ho haha disebediswa tse hlollang tse elellwang lentswe jwaloka bafetoledi ba nako ya nnete le bathusi ba digital ba sebetsang ka lentswe. Empa hajwale boholo ba data ya lentswe e hlokahalang ho haha disebediswa tsa mofuta ona e ya tura mme e ruilwe ke batho ba itseng. Re tshepa hore pokello ya data ya Common Voice e tla fa bahahi ba marang-rang seo ba se hlokang ho qapa le ho etsa thekenoloji ya puo e fumanehe ka puo tseo e leng tsa bona. Ho etsa hore thekenoloji e elellwang lentswe e pharalle le lefatshe, re ntse re bokella mehlala ya mantswe dipuong tse buuwang haholo mmoho le ho dipuo tse buuwang ke ditjhaba tse fokolang ka palo tseo hangata di nyenyefatswang ke dikgwebo tse fag ka ditshebeletso tsa thekenoloji e elellwang puo. <eng>
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, were 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. 