47 citations · 137 across the 13 of their papers we have counts for
5 papers · 1 filter
Ontology-aware Learning and Evaluation for Audio Tagging
Haohe Liu, Qiuqiang Kong, Xubo Liu +3
This study defines a new evaluation metric for audio tagging tasks to overcome the limitation of the conventional mean average precision (mAP) metric, which treats different kinds…
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention
Xubo Liu, Qiushi Huang, Xinhao Mei +10
Audio captioning aims to generate text descriptions of audio clips. In the real world, many objects produce similar sounds. How to accurately recognize ambiguous sounds is a major…
Simple Pooling Front-ends For Efficient Audio Classification
Xubo Liu, Haohe Liu, Qiuqiang Kong +3
Recently, there has been increasing interest in building efficient audio neural networks for on-device scenarios. Most existing approaches are designed to reduce the size of audio…
Low-complexity CNNs for Acoustic Scene Classification
Arshdeep Singh, James A King, Xubo Liu +2
This technical report describes the SurreyAudioTeam22s submission for DCASE 2022 ASC Task 1, Low-Complexity Acoustic Scene Classification (ASC). The task has two rules, (a) the ASC…
Segment-level Metric Learning for Few-shot Bioacoustic Event Detection
Haohe Liu, Xubo Liu, Xinhao Mei +3
Few-shot bioacoustic event detection is a task that detects the occurrence time of a novel sound given a few examples. Previous methods employ metric learning to build a latent spa…