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.
Ri khou ṱoḓa uri Common Voice dataset i vhe na odio ine tshishumiswa tsha u pfa maipfi tsha a ṅwala; tsha ḓo a pfa mashangoni a kule, ndi ngazwo ri tshi khou ṱoḓa maipfi o fhambananaho. Zwiṅwe zwine ra zwi ṱoḓa nga nnḓa ha vhaambi vho fhambananaho, dataset ine ya vha na odio dzo fhambananaho i ḓo thusa tshishumiswa tsha u pfa maipfi tsha a ṅwala uri tshi imedzane na nyimelo dzo fhambananaho dza vhukuma, dzi ngaho u amba hu na goloi ine ya khou ita phosho. Tsha ndeme ndi tsha uri ipfi ḽanu ḽo rekhodiwaho ḽivhe ḽo tsha, ḽi tea u vha ḽi ḽavhuḓi uri ḽi dzhene kha dataset.