133 citations · 194 across the 40 of their papers we have counts for
9 papers · 1 filter
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification
Lam Pham, Dat Ngo, Phu X. Nguyen +2
This paper presents a task of audio-visual scene classification (SC) where input videos are classified into one of five real-life crowded scenes: 'Riot', 'Noise-Street', 'Firework-…
An Annihilating Filter-Based DOA Estimation for Uniform Linear Array
Son Phan, Lam Pham
In this paper, we propose a new method to design an annihilating filter (AF) for direction-of-arrival (DOA) estimation of multiple snapshots within an uniform linear array. To eval…
A Cough-based deep learning framework for detecting COVID-19
Truong Hoang, Lam Pham, Dat Ngo +1
This paper presents a deep learning framework for detecting COVID-19 positive subjects from their cough sounds. In particular, the proposed approach comprises two main steps. In th…
Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification
Lam Pham
This thesis focuses on dealing with the task of acoustic scene classification (ASC), and then applied the techniques developed for ASC to a real-life application of detecting respi…
Deep Learning Frameworks Applied For Audio-Visual Scene Classification
Lam Pham, Alexander Schindler, Mina Schütz +3
In this paper, we present deep learning frameworks for audio-visual scene classification (SC) and indicate how individual visual and audio features as well as their combination aff…
A Low-Compexity Deep Learning Framework For Acoustic Scene Classification
Lam Pham, Hieu Tang, Anahid Jalali +2
In this paper, we presents a low-complexity deep learning frameworks for acoustic scene classification (ASC). The proposed framework can be separated into three main steps: Front-e…