End-to-end losses based on speaker basis vectors and all-speaker hard
negative mining for speaker verification

End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification

7 February 2019

Hye-jin Shim

Papers citing "End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification"

7 / 7 papers shown

Title
Domain Agnostic Few-shot Learning for Speaker Verification Seunghan Yang Debasmit Das Jang Hyun Cho Hyoungwoo Park Sungrack Yun OOD 11 7 0 28 Jun 2022
Estimating Respiratory Rate From Breath Audio Obtained Through Wearable Microphones Agni Kumar Vikramjit Mitra Carolyn Oliver Adeeti V. Ullal Matt Biddulph Irida Mance 19 29 0 28 Jul 2021
Graph Attention Networks for Speaker Verification Jee-weon Jung Hee-Soo Heo Ha-Jin Yu Joon Son Chung 19 26 0 22 Oct 2020
Few Shot Text-Independent speaker verification using 3D-CNN Prateek Mishra 16 5 0 25 Aug 2020
Metric Learning for Keyword Spotting Jaesung Huh Minjae Lee Hee-Soo Heo Seongkyu Mun Joon Son Chung 21 23 0 18 May 2020
RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification Jee-weon Jung Hee-Soo Heo Ju-ho Kim Hye-jin Shim Ha-Jin Yu 17 140 0 17 Apr 2019
VoxCeleb2: Deep Speaker Recognition Joon Son Chung Arsha Nagrani Andrew Zisserman 245 2,233 0 14 Jun 2018