Liveness Detection for Images and Audio

Wei Yuen Teh; Ian K. T. Tan; Heng Kiat Tan

doi:10.1109/ispacs57703.2022.10082821

Liveness Detection for Images and Audio

Wei Yuen Teh, Ian K. T. Tan, Heng Kiat Tan

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this demo paper, we provide a brief overview of liveness detection in the visual and audio modalities. We provide links to our online demos, and discuss some of the technical details behind their implementations, including the use of Convolutional Neural Networks and Mel Spectrograms for the audio modality.

Original language	English
Title of host publication	2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
Publisher	IEEE
ISBN (Electronic)	9798350332421
DOIs	https://doi.org/10.1109/ispacs57703.2022.10082821
Publication status	Published - 31 Mar 2023

Access to Document

10.1109/ispacs57703.2022.10082821

Cite this

@inproceedings{7e0d768caf8b481ab2f5ef1eb10fce80,

title = "Liveness Detection for Images and Audio",

abstract = "In this demo paper, we provide a brief overview of liveness detection in the visual and audio modalities. We provide links to our online demos, and discuss some of the technical details behind their implementations, including the use of Convolutional Neural Networks and Mel Spectrograms for the audio modality.",

author = "Teh, {Wei Yuen} and Tan, {Ian K. T.} and Tan, {Heng Kiat}",

year = "2023",

month = mar,

day = "31",

doi = "10.1109/ispacs57703.2022.10082821",

language = "English",

booktitle = "2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)",

publisher = "IEEE",

address = "United States",

}

TY - GEN

T1 - Liveness Detection for Images and Audio

AU - Teh, Wei Yuen

AU - Tan, Ian K. T.

AU - Tan, Heng Kiat

PY - 2023/3/31

Y1 - 2023/3/31

N2 - In this demo paper, we provide a brief overview of liveness detection in the visual and audio modalities. We provide links to our online demos, and discuss some of the technical details behind their implementations, including the use of Convolutional Neural Networks and Mel Spectrograms for the audio modality.

AB - In this demo paper, we provide a brief overview of liveness detection in the visual and audio modalities. We provide links to our online demos, and discuss some of the technical details behind their implementations, including the use of Convolutional Neural Networks and Mel Spectrograms for the audio modality.

UR - http://www.scopus.com/inward/record.url?scp=85152251452&partnerID=8YFLogxK

U2 - 10.1109/ispacs57703.2022.10082821

DO - 10.1109/ispacs57703.2022.10082821

M3 - Conference contribution

BT - 2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

PB - IEEE

ER -

Liveness Detection for Images and Audio

Abstract

Access to Document

Other files and links

Fingerprint

Cite this