Thanks to contributions from over 259k people in over 50 languages, this data is being used to train speech-enabled applications to better respond to the human voice.
S uttekki n wugar n 259 000 n yiwiziwen deg wugar n 50 n tutlayin, isefka-a ad ttwasqedcen i usluɣmu n yisnasen s taɣect akken ad issinen taɣect n umdan.