Publications

Preprint(s)

Lam Pham, Phat Lam, Tin Nguyen, Hieu Tang, Dat Tran, Alexander Schindler, Florian Skopik, Alexander Polonsky, Canh Vu, Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models, arXiv preprint arXiv:2407.01777, 2024 [PDF]

Tin Nguyen, Lam Pham, Phat Lam, Dat Ngo, Hieu Tang, Alexander Schindler, The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model, arXiv preprint arXiv:2403.00379, 2024 [PDF]

2024

Phat Lam, Lam Pham, Tin Nguyen, Thinh Pham, Loi Khanh Nguyen, Alexander Schindler, Towards Unsupervised Speaker Diarization System for Multilingual Telephone Calls Using Pre-trained Whisper Model and Mixture of Sparse Autoencoders, Proc. Symposium on Information and Communication Technology, 2024 (Accepted)

Phat Lam, Lam Pham, Tin Nguyen, Hieu Tang, Michael Seidl, Medina Andresel, Alexander Schindler, LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts, Proc. Conference on Computer Science and Intelligence Systems, 2024 (Accepted)

Khoa Tran, Hai-Canh Vu, Lam Pham, Nassim Boudaoud, Ho-Si-Hung Nguyen, Robust-MBDL: A Robust Multi-Branch Deep-Learning-Based Model for Remaining Useful Life Prediction of Rotating Machines, Mathematics, 2024 (Accepted)

Lam Pham, Phat Lam, Tin Nguyen, Hieu Tang, Alexander Schindler, A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection), Proc. International Conference on Content-based Multimedia Indexing, 2024 (Accepted)

2023

L. Pham, T. Nguyen, P. Lam, D. Ngo, A. Jalali and A. Schindler, Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms, Proc. International Symposium on the Internet of Soundsy, 2023, pp. 1-8 (Accepted)