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.
ijo ale pi kulupu kalama Common Voice li jo e lipu kalama, e sitelen sama. kalama awen <b>{ $total }</b> mute li jo e sona jan. sona jan li tenpo sike lon ona, li kule ona, li nasin kalama toki ona. ale ni li ken pona e ilo kute. kulupu kalama li jo e kalama awen pona <b>{ $valid }</b> lon toki <b>{ $languages }</b>. taso, mi wile jo e toki sin lon tenpo ale. o lukin e <languagesLink>lipu toki</languagesLink> la, sina ken pana e toki sin, e pali.