The VoxCeleb Speaker Recognition Challenge: A Retrospective
The VoxCeleb Speaker Recognition Challenges (VoxSRC) were a series of
challenges and workshops that ran annually from 2019 to 2023. The challenges
primarily evaluated the tasks of speaker recognition and diarisation under
various settings including: closed and open training data; as well as
supervised, self-supervised, and semi-supervised training for domain
adaptation. The challenges also provided publicly available training and
evaluation datasets for each task and setting, with new test sets released each
year. In this paper, we provide a review of these challenges that covers: what
they explored; the methods developed by the challenge participants and how
these evolved; and also the current state of the field for speaker verification
and diarisation. We chart the progress in performance over the five
installments of the challenge on a common evaluation dataset and provide a
detailed analysis of how each year's special focus affected participants'
performance. This paper is aimed both at researchers who want an overview of
the speaker recognition and diarisation field, and also at challenge organisers
who want to benefit from the successes and avoid the mistakes of the VoxSRC
challenges. We end with a discussion of the current strengths of the field and
open challenges. Project page :
https://mm.kaist.ac.kr/datasets/voxceleb/voxsrc/workshop.html
66d533861ba71ac4c040eb6d
Jaesung Huh
claimed_verified
2024-09-02T07:16:21.305Z
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Huh
user
JaesungHuh
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Joon Son Chung
admin_assigned
2024-09-02T08:04:32.758Z
647dcc87e4d52fe0e01c8ffc
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Joon Son Chung
user
joonson
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Arsha Nagrani
admin_assigned
2024-09-02T08:04:39.939Z
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Arsha Nagrani 
user
arsha1
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Andrew Brown
66d533861ba71ac4c040eb71
Jee-weon Jung
admin_assigned
2024-09-02T08:05:54.927Z
6226f40ee1cc4da2221557a0
/avatars/9654850f5aeba1d7c19ae017096c78d7.svg
Jee-weon Jung
user
jungjee
66d533861ba71ac4c040eb72
Daniel Garcia-Romero
admin_assigned
2024-09-02T08:06:00.393Z
63af027b5833626d76714bcd
/avatars/ab8f4266f9efd5c257597738d6ddcc6d.svg
Daniel Garcia-Romero
user
dgromero
66d533861ba71ac4c040eb73
Andrew Zisserman
The VoxCeleb Speaker Recognition Challenge: A Retrospective
The VoxCeleb Speaker Recognition Challenges (VoxSRC) were a series of
challenges and workshops that ran annually from 2019 to 2023. The challenges
primarily evaluated the tasks of speaker recognition and diarisation under
various settings including: closed and open training data; as well as
supervised, self-supervised, and semi-supervised training for domain
adaptation. The challenges also provided publicly available training and
evaluation datasets for each task and setting, with new test sets released each
year. In this paper, we provide a review of these challenges that covers: what
they explored; the methods developed by the challenge participants and how
these evolved; and also the current state of the field for speaker verification
and diarisation. We chart the progress in performance over the five
installments of the challenge on a common evaluation dataset and provide a
detailed analysis of how each year's special focus affected participants'
performance. This paper is aimed both at researchers who want an overview of
the speaker recognition and diarisation field, and also at challenge organisers
who want to benefit from the successes and avoid the mistakes of the VoxSRC
challenges. We end with a discussion of the current strengths of the field and
open challenges. Project page :
https://mm.kaist.ac.kr/datasets/voxceleb/voxsrc/workshop.html
A review of the VoxCeleb Speaker Recognition Challenges (VoxSRC) from 2019 to 2023, detailing performance trends, methodological advancements, and future research directions in speaker verification and diarisation.
speaker recognition diarisation domain adaptation supervised training self-supervised training semi-supervised training evaluation datasets common evaluation dataset