<translate> Ɗee-ɗoo eɓɓoje ɗiɗi kala njeyaa ko e darnde amen ngam sukkude yolnde peecol karalle haala. Karalle keftingol sawto ɓeydat e kaɓirɗi men fannu neɗɗaŋke, kono topayɓe ena cokli keɓe sawto moolanaaɗe keewal ngam mahde ɗe. E oo sahaa, ko heewi e ɗeen keɓe ena tiiɗi njaru etee ko jeyi keeriiɗo.Min njiɗi ko waɗde haa keɓe sawto heɓoo e wellitaare kam e peñcu, tawa amin ndaranii keɓe ɗee ena noddi limlimtam yimɓe e jaati. Eɗen fof mbaawi beydude moƴƴugol keftingol sawto. <eng>
Both of these projects are part of our efforts to bridge the digital speech divide. Voice recognition technologies bring a human dimension to our devices, but developers need an enormous amount of voice data to build them. Currently, most of that data is expensive and proprietary.We want to make voice data freely and publicly available, and make sure the data represents the diversity of real people. Together we can make voice recognition better for everyone. 