2020/10/24 by Wang, Weiqing, Cai, Danwei, Qin, Xiaoyi +1 · 1 citation
#Audio and Speech Processing (eess.AS) #FOS: Electrical engineering #electronic engineering #information engineering
paper · doi:10.48550/arxiv.2010.12731
In this paper, we present the system submission for the VoxCeleb Speaker Recognition Challenge 2020 (VoxSRC-20) by the DKU-DukeECE team. For track 1, we explore various kinds of state-of-the-art front-end extractors with different pooling layers and objective loss functions. For track 3, we employ an iterative framework for self-supervised speaker representation learning based on a deep neural network (DNN). For track 4, we investigate the whole system pipeline for speaker diarization, including voice activity detection (VAD), uniform segmentation, speaker embedding extraction, and clustering.