Spoofing speech detection algorithm based on joint feature and random forest
In order to describe the characteristic information of the speech signal more comprehensively and improve the detection rate of camouflage, a spoofing speech detection method based on the combination of uniform local binary pattern texture feature and constant Q cepstrum coefficient acoustic feature...
Saved in:
Main Authors: | Jiaqi YU, Zhihua JIAN, Jia XU, Lin YOU, Yunlu WANG, Chao WU |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2022-06-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022089/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Synthetic spoofing speech detection method based on center-symmetric local binary pattern
by: Jia XU, et al.
Published: (2023-01-01) -
A method of synthetic speech spoofing detection using constant Q modulation envelope
by: Jia XU, et al.
Published: (2023-11-01) -
Spoof speech detection based on context information and attention feature
by: Jia CHEN, et al.
Published: (2023-02-01) -
Completed local binary pattern based speech anti-spoofing
by: Jian XU, et al.
Published: (2021-05-01) -
Learning deep forest for face anti-spoofing: An alternative to the neural network against adversarial attacks
by: Rizhao Cai, et al.
Published: (2024-10-01)