76 citations · 161 across the 12 of their papers we have counts for
6 papers · 1 filter
Anomalous Sound Detection using Audio Representation with Machine ID based Contrastive Learning Pretraining
Jian Guan, Feiyang Xiao, Youde Liu +2
Existing contrastive learning methods for anomalous sound detection refine the audio representation of each audio sample by using the contrast between the samples' augmentations (e…
Graph Attention for Automated Audio Captioning
Feiyang Xiao, Jian Guan, Qiaoxi Zhu +1
State-of-the-art audio captioning methods typically use the encoder-decoder structure with pretrained audio neural networks (PANNs) as encoders for feature extraction. However, the…
Anomalous Sound Detection using Spectral-Temporal Information Fusion
Youde Liu, Jian Guan, Qiaoxi Zhu +1
Unsupervised anomalous sound detection aims to detect unknown abnormal sounds of machines from normal sounds. However, the state-of-the-art approaches are not always stable and per…
Local Information Assisted Attention-free Decoder for Audio Captioning
Feiyang Xiao, Jian Guan, Haiyan Lan +2
Automated audio captioning aims to describe audio data with captions using natural language. Existing methods often employ an encoder-decoder structure, where the attention-based d…
Time-domain Speech Enhancement with Generative Adversarial Learning
Feiyang Xiao, Jian Guan, Qiuqiang Kong +1
Speech enhancement aims to obtain speech signals with high intelligibility and quality from noisy speech. Recent work has demonstrated the excellent performance of time-domain deep…
Matrix of Polynomials Model based Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling
Jian Guan, Xuan Wang, Pengming Feng +2
We study the problem of dictionary learning for signals that can be represented as polynomials or polynomial matrices, such as convolutive signals with time delays or acoustic impu…