20 citations · 76 across the 19 of their papers we have counts for
19 papers
Towards Event-Robust Acoustic Scene Classification
Yiqiang Cai, Bohan Hu, Yu Yang +3
This paper introduces the Event-Shifted Acoustic Scene (ESAS) dataset, a novel benchmark for evaluating the robustness of Acoustic Scene Classification (ASC) systems against unknow…
Remix the Timbre: Diffusion-Based Style Transfer Across Polyphonic Stems
Leduo Chen, Junchuan Zhao, Shengchen Li
Timbre transfer aims to modify the timbral identity of a musical recording while preserving its original melody and rhythm. While single-instrument timbre transfer has made substan…
TF-SepNet: An Efficient 1D Kernel Design in CNNs for Low-Complexity Acoustic Scene Classification
Yiqiang Cai, Peihong Zhang, Shengchen Li
Recent studies focus on developing efficient systems for acoustic scene classification (ASC) using convolutional neural networks (CNNs), which typically consist of consecutive kern…
An Comparative Analysis of Different Pitch and Metrical Grid Encoding Methods in the Task of Sequential Music Generation
Yuqiang Li, Shengchen Li, George Fazekas
Pitch and meter are two fundamental music features for symbolic music generation tasks, where researchers usually choose different encoding methods depending on specific goals. How…
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…
Exploring the Effects of Channel Sparsity on Neural Network Pruning for Acoustic Scene Classification
Yiqiang Cai, Shengchen Li
Acoustic Scene Classification (ASC) algorithms are usually expected to be deployed in resource-constrained systems. Existing works reduce the complexity of ASC algorithms by prunin…