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20242026
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cs.SD2026

Environmental Sound Deepfake Detection Using Deep-Learning Framework

Khoi Vu, Dat Tran, Khanh Do +8

In this paper, we propose a deep-learning framework for Environmental Sound Deepfake Detection (ESDD) - the task of identifying whether the sound scene and sound event in an input…

cs.SD2025

DIN-CTS: Low-Complexity Depthwise-Inception Neural Network with Contrastive Training Strategy for Deepfake Speech Detection

Lam Pham, Dat Tran, Phat Lam +5

In this paper, we propose a deep neural network approach for deepfake speech detection (DSD) based on a lowcomplexity Depthwise-Inception Network (DIN) trained with a contrastive t…

cs.SD2025

A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection

Lam Pham, Phat Lam, Dat Tran +6

Thanks to advancements in deep learning, speech generation systems now power a variety of real-world applications, such as text-to-speech for individuals with speech disorders, voi…

cs.SD2024

Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models

Lam Pham, Phat Lam, Truong Nguyen +2

In this paper, we propose a deep learning based system for the task of deepfake audio detection. In particular, the draw input audio is first transformed into various spectrograms…

cs.SD2024

A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection)

Lam Pham, Phat Lam, Tin Nguyen +2

In this paper, we present a toolchain for a comprehensive audio/video analysis by leveraging deep learning based multimodal approach. To this end, different specific tasks of Speec…