42 citations · 110 across the 9 of their papers we have counts for
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eess.AS2022
Polyphonic audio event detection: multi-label or multi-class multi-task classification problem?
Huy Phan, Thi Ngoc Tho Nguyen, Philipp Koch +1
Polyphonic events are the main error source of audio event detection (AED) systems. In deep-learning context, the most common approach to deal with event overlaps is to treat the A…
eess.AS2020★ 16 cited
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…
eess.AS2020
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…