The automatic speaker indexing consists in splitting the signal into homogeneous segments and cluster- ing them by speakers. However the speaker segments are speci ed with anonymous labels. This paper pro- pose to identify those speakers by extracting their full names pronounced in the show. With a semantic clas- si cation tree, the full names detected in the segment transcription are associated to this segment or to one of its neighbors. Then, a merging method associates a full name to a speaker cluster instead of the anony- mous label. The experiments are carried out over French broadcast news from the ESTER 2005 evalua- tion campaign. About 70% show duration is correctly processed for evaluation corpus.