3 citations · 6 across the 11 of their papers we have counts for
11 papers
A General Model for Deepfake Speech Detection: Diverse Bonafide Resources or Diverse AI-Based Generators
Lam Pham, Khoi Vu, Dat Tran +4
In this paper, we analyze two main factors of Bonafide Resource (BR) or AI-based Generator (AG) which affect the performance and the generality of a Deepfake Speech Detection (DSD)…
RMAU-NET: A Residual-Multihead-Attention U-Net Architecture for Landslide Segmentation and Detection from Remote Sensing Images
Lam Pham, Cam Le, Hieu Tang +6
In recent years, landslide disasters have reported frequently due to the extreme weather events of droughts, floods , storms, or the consequence of human activities such as defores…
Aud-Sur: An Audio Analyzer Assistant for Audio Surveillance Applications
Phat Lam, Lam Pham, Dat Tran +5
In this paper, we present an audio analyzer assistant tool designed for a wide range of audio-based surveillance applications (This work is a part of our DEFAME FAKES and EUCINF pr…
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…
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…
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…
Towards Unsupervised Speaker Diarization System for Multilingual Telephone Calls Using Pre-trained Whisper Model and Mixture of Sparse Autoencoders
Phat Lam, Lam Pham, Truong Nguyen +5
Existing speaker diarization systems typically rely on large amounts of manually annotated data, which is labor-intensive and difficult to obtain, especially in real-world scenario…
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…
The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model
Tin Nguyen, Lam Pham, Phat Lam +3
In this paper, we propose a deep learning based model for Acoustic Anomaly Detection of Machines, the task for detecting abnormal machines by analysing the machine sound. By conduc…
LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts
Phat Lam, Lam Pham, Tin Nguyen +4
The Sequential Sentence Classification task within the domain of medical abstracts, termed as SSC, involves the categorization of sentences into pre-defined headings based on their…
Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network
Cam Le, Lam Pham, Jasmin Lampert +2
Knowledge about historic landslide event occurrence is important for supporting disaster risk reduction strategies. Building upon findings from 2022 Landslide4Sense Competition, we…