Each entry in the dataset consists of a unique MP3 and corresponding text file. Many of the <b>{ $total }</b> recorded hours in the dataset also include demographic metadata like age, sex, and accent that can help train the accuracy of speech recognition engines.  The dataset currently consists of <b>{ $valid }</b> validated hours in <b>{ $languages }</b> languages, but we’re always adding more voices and languages. Take a look at our <languagesLink>Languages page</languagesLink> to request a language or start contributing.
Hiki hibaba hi kiñ ikédé liyaa li gwéé pom MP3 ntôñ ni bôm i matila yé. Jôga li mañgeñ lipe ikédé nsoñgi u miñodlak mi mañgeñ <b>{ $total }</b> i mayaa, li yé ntôñ ni biyimbne bi basañge, kiki bo nwii, libak li muda tole munlôm, lipodok, bi bi nla hôla i niiga minyum mi nnigle ni isolol makiñ.