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.
Sin-agi n yisenfaren ttekkan deg uxeddim-nneɣ i d-nger akken ad nsenɣes aceqqiq yellan deg taɣect tumḍint. Titiknulujiyin n uɛqal n taɣect rennunt-d kra n umaynut icudden ɣer umdan deg yisuga neɣ ibenkan-nneɣ, maca ineflayen sran ddeqs n yisefka n taɣect akken ad feṣṣlen ifecka. Akka tura, tuget n yisefka-a ɣlayit yerna ɣur-sen imawlan. Nebɣa ad nerr isefka n taɣect baṭel daɣen ttwakcamen s wudem azayaz, daɣen ad neḍmen d akken isefka-a ḍummen-d meṛṛa imdanen deg tudert tilawt. Lwaḥid, nezmer ad nerr aɛqal n taɣect d ufrin i yal yiwen.