SCAN (Speech Content based Audio Navigator) is a spoken document retrieval system integrating speaker-independent, large-vocabulary speech recognition with information-retrieval to support query-based retrieval of information from speech archives. Initial development focused on the application of SCAN to the broadcast news domain. This paper provides an overview of this system, including a description of its graphical user interface which incorporates machine-generated speech transcripts to provide local contextual navigation and random access for browsing large speech databases.