We want the audio quality to reflect the audio quality a speech-to-text engine will see in the wild. Thus, we want variety. This teaches the speech-to-text engine to handle various situations—background talking, car noise, fan noise—without errors.
Nos desira que le qualitate audio reflecte le qualitate del audio que un motor de recognition vocal videra in natura. Assi, nos desira varietate. Isto insenia al motor de recognition vocal de gerer plure situationes — parlate in secunde plano, rumor de auto, rumor de ventilator —sin errores.