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...

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Bibliographic Details
Main Author: Azka Arief, Sarah
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/85050
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Institution: Institut Teknologi Bandung
Language: Indonesia