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.
Temre kala e leemre keɓe ndee jogii ko MP3 mum keeriiɗo jahdoowo e fiile binndol. Keewɗi e <b>{ $total }</b> waktuji nanngito gonɗe e leemre keɓe ndee ena njogii metaakeɓe leƴrenndiije wano duuɓi, njogoram e ngaddiin baawɗe wallude eeltude ceeɓndam masiŋaaji keftingol haala  Leemre keɓe ndee e oo sahaa ko waktuuji <b>{ $valid }</b> jaaɗinaaɗi e ɗemɗe <b>{ $languages }</b>, kono amin ɓeyda sawtooji e ɗemɗe goɗɗe e sahaa fof. Yillo <languagesLink>hello Ɗemɗe</languagesLink> amen ngam ɗaɓɓitde ɗemngal walla fuɗɗo wallitde.