INDONESIAN SPEECH ANTI-SPOOFING SYSTEM: DATA CREATION AND CONVOLUTIONAL NEURAL NETWORK MODELS
Biometric systems are prone to spoofing attacks. While research in speech anti-spoofing has been progressing, there is a limited availability of diverse language datasets. This study aims to bridge this gap by developing an Indonesian spoofed speech dataset, which includes replay attacks, text-to...
Saved in:
Main Author: | Azka Arief, Sarah |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/85050 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Spoofing speech detection using temporal convolutional neural network
by: Xiao, Xiong, et al.
Published: (2018) -
Neural network pruning for face anti-spoofing
by: Zhang, Yinan
Published: (2022) -
DESIGN OF FACE RECOGNITION ANTI-SPOOFING MODEL BASED ON CONVOLUTIONAL NEURAL NETWORK USING FACENET TO ADDRESS VIDEO REPLAY ATTACKS
by: Fadillah Ramdhan, Lucky -
CONVOLUTIONAL NEURAL NETWORK ACOUSTIC MODEL FOR ROBUSTNESS OF INDONESIAN SPEECH RECOGNITION IN STATIONARY NOISE ENVIRONMENT
by: Jerremy Budiman, Marvin -
GNSS spoofing and anti-spoofing
by: Liu, Haoxin
Published: (2023)