Utterance-level aggregation for speaker recognition in the wild
The objective of this paper is speaker recognition `in the wild' - where utterances may be of variable length and also contain irrelevant signals. Crucial elements in the design of deep networks for this task are the type of trunk (frame level) network, and the method of temporal aggregation. W...
Main Authors: | Xie, W, Nagrani, A, Chung, J, Zisserman, A |
---|---|
Format: | Conference item |
Published: |
IEEE
2019
|
Similar Items
-
Voxceleb: large-scale speaker verification in the wild
by: Nagrani, A, et al.
Published: (2019) -
Spot the conversation: Speaker diarisation in the wild
by: Chung, JS, et al.
Published: (2020) -
VoxCeleb2: Deep speaker recognition
by: Chung, J, et al.
Published: (2018) -
The VoxCeleb speaker recognition challenge: a retrospective
by: Huh, J, et al.
Published: (2024) -
VoxCeleb: a large-scale speaker identification dataset
by: Nagrani, A, et al.
Published: (2017)