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.
Niqajo' chi ri rucholxe'el tzij Common Voice nuk'üt ri ütz chi k'oxom, ri kan xtrak'axaj jun ruk'wab'al ch'ab'äl pa tz'ib'anïk. Achi'el jun aj tinamït chi jalajöj taq ch'ab'anela' chuqa' najowäx jun cholxe'el tzij rik'in jalajöj ruwäch chi k'oxom richin nuk'üt rub'eyal nub'än ri k'wab'äl chuwäch ri nik'ulwachitäj pa ruwach'ulew, achi'el nich'o pa ruka'nch'ach'el k'ojlib'äl, achi'el toq k'oy kich'ab'äl ch'ich'. We na'owinäq ri peraj ch'ab'äl, k'o ta chi okel chi re ri rucholxe'el tzij.