Meetings in which participants are linked by video, audio, and shared computer applications produce several parallel information streams. We created a meeting indexer, Jabber, that uses content-based indexing of the audio stream to access these parallel streams. It performs speech recognition on the audio stream, then groups the recognized words into semantically linked trees. The user interface is designed to display information with minimal distraction during meetings.