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.
An b’a fɛ Common Voice kunnafonidilan ka mankan cogoya jira, kuma ni sɛbɛnni masin bɛna min mɛn kungo kɔnɔ, o de kama an bɛ suguya caman ɲini. Ka fara kumalasela suguya caman kan, kunnafonidilan min ka mankan cogoya tɛ kelen ye, o bɛna kuma ni sɛbɛnni motɛri kalan walasa ka diɲɛ ko lakikaw suguya caman ɲɛnabɔ, k’a ta kɔkan kuma na ka se mobili mankan ma. Ni i ka kumakan-klip bɛ faamuya, a ka kan ka kɛ koɲuman ye dataset (daɲɛgafe) la.