Although speech recognition usually requires a sufficient corpus to provide useful results, such corpora tend to be costly and labor-intensive, thus limiting applications.
this study has aimed at collaborative training for speech recognition where full-text transcriptions containing recognition errors are first disclosed and then corrected by anonymous users.