We believe that large and publicly available voice datasets foster innovation and healthy commercial competition in machine-learning based speech technology. This is a global effort and we invite everyone to participate. Our aim is to help speech technology be more inclusive, reflecting the diversity of voices from around the world.
Numen d akken tigrumminwin timeqqranin n yisefka yettwabḍan s wudem azayez, ad muddent tagnit n usnulfu, daɣen ad ttekkint deg usbeddi n umsizwer zeddigen i titiknulujiyin n taɣect s useqdec n uselmed awurman. D axeddim agraɣlan, ihi ad k-id-nenced akken ad tettekkiḍ. Iswi-nneɣ akken titiknulujiyin tiɣectanin ad ilint ldint, daɣen, ad izmirent ad d-muddent udem n tanḍa n tuɣac n umaḍal meṛṛa.