The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts
Previous work has shown that providing information about story structure is critical for browsing audio broadcasts. We investigate the hypothesis that Speaker Role is an important cue to story structure. We implement an algorithm that classies story segments into three Speaker Roles based on several content and duration features. The algorithm correctly classies about 80% of segments (compared with a baseline frequency of 35.4%) when applied to ASR derived transcriptions of broadcast data.