133 citations · 194 across the 40 of their papers we have counts for
9 papers · 1 filter
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds
Dat Ngo, Lam Pham, Anh Nguyen +3
This paper proposes a robust deep learning framework used for classifying anomaly of respiratory cycles. Initially, our framework starts with front-end feature extraction step. Thi…
A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network
Thi Ngoc Tho Nguyen, Ngoc Khanh Nguyen, Huy Phan +4
Polyphonic sound event detection and localization (SELD) task is challenging because it is difficult to jointly optimize sound event detection (SED) and direction-of-arrival (DOA)…
On Multitask Loss Function for Audio Event Detection and Localization
Huy Phan, Lam Pham, Philipp Koch +3
Audio event localization and detection (SELD) have been commonly tackled using multitask models. Such a model usually consists of a multi-label event classification branch with sig…
CNN-MoE based framework for classification of respiratory anomalies and lung disease detection
Lam Pham, Huy Phan, Ramaswamy Palaniappan +2
This paper presents and explores a robust deep learning framework for auscultation analysis. This aims to classify anomalies in respiratory cycles and detect disease, from respirat…
Sound Context Classification Basing on Join Learning Model and Multi-Spectrogram Features
Dat Ngo, Hao Hoang, Anh Nguyen +2
In this paper, we present a deep learning framework applied for Acoustic Scene Classification (ASC), the task of classifying scene contexts from environmental input sounds. An ASC…
Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification
Lam Pham, Ian McLoughlin, Huy Phan +2
In this work, we propose an approach that features deep feature embedding learning and hierarchical classification with triplet loss function for Acoustic Scene Classification (ASC…