The DKU-Duke-Lenovo System Description for the Third DIHARD Speech Diarization Challenge
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In this paper, we present the submitted system for the third DIHARD Speech Diarization Challenge from the DKU-Duke-Lenovo team. Our system consists of several modules: voice activity detection (VAD), segmentation, speaker embedding extraction, attentive similarity scoring, agglomerative hierarchical clustering. In addition, the target speaker VAD (TSVAD) is used for the phone call data to further improve the performance. Our final submitted system achieves a DER of 15.43 evaluation set on task 1, and we also get a DER of 21.63 set and 18.90
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