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.
Konke okulotshiwe kwidathasethi kuphuma ne-MP3 oyingqayizivele kanye nombhalo ohambelanayo . Okuningi <b>{ $total }</b> okwamahora aqoshiwe kwidathasethi analokhu, ulwazi ngezibalo zabantu njengeminyaka yabo, ubulili kanye nendlela abakhuluma ngayo ukuqinisekisa ukuba bezonemba izinjini zokuqashelwa kwenkulumo.   Okwamanje, idathasethi <b>{ $valid }</b> iqukethe amahora aqinisekisiweyo <b>{ $languages }</b> ngezilimi, kepha sihlezi sengeza ngamanye amazwi nezilimi. Bheka le <languagesLink>Ikhasi lezilimi</languagesLink> ukucela ulimi thizeni noma uqale ukuxhasa.