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.
Donan kelen-kelen bɛɛ bɛ Kɛ ni MP3 kɛrɛnkɛrɛnnen ye ani sɛbɛnni-dosiyɛri min bɛ Bɛn o ma. <b>{ $total }</b> lɛrɛ minnu sɛbɛnna kunnafonidilan kɔnɔ, olu caman fana bɛ jamanadenw ka kunnafonidilanw kɔnɔ i n’a fɔ si hakɛ, cɛya ni musoya, ani fɔcogo minnu bɛ se ka dɛmɛ don ka kuma dɔnni masinw ka tiɲɛni dege.  Donanw kulu bɛ kɛ sisan <b>{ $valid }</b> lɛrɛw ye minnu sɛgɛsɛgɛra <b>{ $kanw }</b> kanw na, nka an bɛ kan ni kan caman fara a kan tuma bɛɛ. Aw ye an ka <languagesLink>Kanw ɲɛ</languagesLink> lajɛ walasa ka kan dɔ ɲini walima ka dɛmɛ daminɛ.