The study of simple talk and silence indices that characterize conversation is limited by the costly, "labor-intensive" character of data collection and analysis. In the face of results demonstrating the significance of these data in interpersonal judgments (Hayes & Meltzer, 1972; Lustig, Note I), more efficient collection, storage, and analysis methods are required. This report describes a hardware and software system, FIASSCO, that collects, stores, and analyzes two-person separate-channel audio-recorded conversations for various indices of talk and silence. Data output are both continuous and discrete measures in time sequence. Further, data on the validity and reliability of FIASSCO output are provided along with sample analyses of computer results.