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.
Min njiɗi ko Leemre keɓe Common Voice nannda keelɗugol ojoo masiŋ haala-to-binndol nanoyta e weeyo, wadde min njiylotoo ko limlimtam. Kam e renndo haalooɓe limlimtinde, leemre keɓe waɗnde keelɗugol ojoo limlimtinde maa janngin masiŋaaji haala-tobinndol gollaade e ngonka goongiray-goonga, foti ko e haala ngoɗɗuka walla dille oto. Tawde tan lefel sawto maa ena faamnii, engel fota naatde e leemre keɓe ndee.