RECOG: Recognition and Exploration of Content Graphs

We present RECOG (Recognition and Exploration of COntent Graphs), a system for visualizing and interacting with speaker content graphs constructed from large data sets of speech recordings. In a speaker content graph, nodes represent speech signals and edges represent speaker similarity. First, we describe a layout algorithm that optimizes content graphs for ease of navigability. We then present an interactive tool set that allows an end user to find and explore interesting occurrences in the corpus. We also present a tool set that allows a researcher to visualize the shortcomings of current content graph generation algorithms. RECOG’s layout and toolsets were implemented as Gephi plugins [1].