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Designing an Effective Metric Learning Pipeline for Speaker Diarization

Designing an Effective Metric Learning Pipeline for Speaker Diarization

1 November 2018
V. Narayanaswamy
Jayaraman J. Thiagarajan
Huan Song
A. Spanias
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Papers citing "Designing an Effective Metric Learning Pipeline for Speaker Diarization"

5 / 5 papers shown
Title
Overview of Speaker Modeling and Its Applications: From the Lens of Deep
  Speaker Representation Learning
Overview of Speaker Modeling and Its Applications: From the Lens of Deep Speaker Representation Learning
Shuai Wang
Zheng-Shou Chen
Kong Aik Lee
Yan-min Qian
Haizhou Li
47
4
0
21 Jul 2024
Combination of Deep Speaker Embeddings for Diarisation
Combination of Deep Speaker Embeddings for Diarisation
Guangzhi Sun
Chao Zhang
P. Woodland
27
20
0
22 Oct 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification
Negative Margin Matters: Understanding Margin in Few-shot Classification
Bin Liu
Yue Cao
Yutong Lin
Qi Li
Zheng-Wei Zhang
Mingsheng Long
Han Hu
35
318
0
26 Mar 2020
End-to-End Neural Diarization: Reformulating Speaker Diarization as
  Simple Multi-label Classification
End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification
Yusuke Fujita
Shinji Watanabe
Shota Horiguchi
Yawen Xue
Kenji Nagamatsu
14
49
0
24 Feb 2020
End-to-End Neural Speaker Diarization with Self-attention
End-to-End Neural Speaker Diarization with Self-attention
Yusuke Fujita
Naoyuki Kanda
Shota Horiguchi
Yawen Xue
Kenji Nagamatsu
Shinji Watanabe
190
238
0
13 Sep 2019
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