ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.14021
  4. Cited By
A Comparison of Metric Learning Loss Functions for End-To-End Speaker
  Verification

A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification

31 March 2020
Juan Manuel Coria
H. Bredin
Sahar Ghannay
S. Rosset
ArXivPDFHTML

Papers citing "A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification"

4 / 4 papers shown
Title
MSA-ASR: Efficient Multilingual Speaker Attribution with frozen ASR Models
MSA-ASR: Efficient Multilingual Speaker Attribution with frozen ASR Models
Thai-Binh Nguyen
Alexander Waibel
61
1
0
27 Nov 2024
Multi-task self-supervised learning for Robust Speech Recognition
Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli
Jianyuan Zhong
Santiago Pascual
P. Swietojanski
João Monteiro
J. Trmal
Yoshua Bengio
SSL
171
288
0
25 Jan 2020
pyannote.audio: neural building blocks for speaker diarization
pyannote.audio: neural building blocks for speaker diarization
H. Bredin
Ruiqing Yin
Juan Manuel Coria
G. Gelly
Pavel Korshunov
Marvin Lavechin
D. Fustes
Hadrien Titeux
Wassim Bouaziz
Marie-Philippe Gill
183
310
0
04 Nov 2019
VoxCeleb2: Deep Speaker Recognition
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung
Arsha Nagrani
Andrew Zisserman
214
2,224
0
14 Jun 2018
1