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.
Hi lava leswaku dataset ya Common Voice yi kombisa khwalithi ya mpfumawulo leyi injhini ya mbulavulo ku ya eka tsalwa yi nga ta yi twa ekhwatini, hikwalaho hi lava ku hambana-hambana. Ku engetela eka ntlawa wo hambana-hambana wa swipikara, dataset leyi nga ni khwalithi yo hambana-hambana ya mpfumawulo yi ta dyondzisa injhini ya mbulavulo ku ya eka tsalwa ku khoma swiyimo swo hambana-hambana swa xiviri, ku sukela eka ku vulavula endzhaku ku ya eka mpfumawulo wa movha. Loko ntsena xiphemu xa wena xa rito xi twisiseka, xi fanele xi va lexinene ku ringana eka dataset.