Paper proposes UIS-RNN for fully supervised speaker diarization.
problem Speaker diarization with unknown number of speakers and time-stamped labels.
method Parameter-sharing RNNs with interleaved states, ddCRP for clustering.
result 7.6% diarization error rate on NIST SRE 2000 CALLHOME.