In this paper, we describe experiments conducted on identifying a person using a novel unique correlated corpus of text and audio samples of the person’s communication in six genres. The text samples include essays, emails, blogs, and chat. Audio samples were collected from individual interviews and group discussions and then transcribed to text. For each genre, samples were collected for six topics.