We want the Common Voice dataset to reflect the audio quality a speech-to-text engine will hear in the wild, so we’re looking for variety. In addition to a diverse community of speakers, a dataset with varying audio quality will teach the speech-to-text engine to handle various real-world situations, from background talking to car noise. As long as your voice clip is intelligible, it should be good enough for the dataset.
Nessaram d akken tagrumma n yisefka Common Voice ad terr udem n tɣara tameslawt ara d-yemmager unagraw n taɣect deg tilawt, ihi nesra ddeqs n ususru yemgaraden. Ɣer tama n terbaɛt yemmalen amgarad wessiɛen n wid yettmeslayen, tagrumma n yisefka s tɣara timeslit yemgaraden ad iselmed amsedday n uɛqal n taɣect amek ara yegzu taɣect deg tudert n yal ass, ama s udiwenni deg ugilal neɣ ṣṣut n tkeṛṛust. Ma yella tukkisin ttwafhament, ihi yelha i tegrumma n yisefka.