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.
Maglumat toplumyndaky her ýazgy özboluşly MP3 we degişli tekst faýlyndan durýar. Maglumat toplumynda ýazylan <b>{ $total }</b> sagadyň köpüsinde ýaş, jyns we şiwe ýaly sözleýşi tanaýjy motorlaryň dogrulygyny türgenleşdirmäge ýardam berip biljek demografiki metadata hem bar.  Maglumatlar toplumy häzirki wagtda <b>{ $languages }</b> dilde tassyklanan <b>{ $valid }</b> sagatdan ybarat, emma biz yzygiderli has köp ses we dil goşýarys. Bir dil soramak ýa-da goşant goşmak üçin <languagesLink>Diller sahypasyna</languagesLink> göz aýlaň.