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YUANBO HOU
YUANBO HOU
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Multi-level attention model with deep scattering spectrum for acoustic scene classification
Z Li, Y Hou, X Xie, S Li, L Zhang, S Du, W Liu
2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2019
212019
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units
Y Hou, Q Kong, J Wang, S Li
DCASE2018 Workshop, 2018
192018
Relation-guided acoustic scene classification aided with event embeddings
Y Hou, B Kang, W Van Hauwermeiren, D Botteldooren
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
162022
Sound event detection with sequentially labelled data based on connectionist temporal classification and unsupervised clustering
Y Hou, Q Kong, S Li, MD Plumbley
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
132019
Transfer Learning for Improving Singing-voice Detection in Polyphonic Instrumental Music
Y Hou, FK Soong, J Luan, S Li
INTERSPEECH 2020, 2020
122020
Sound event detection in real life audio using multimodel system
Y Hou, S Li
Proceedings of the Detection and Classification of Acoustic Scenes and Events, 2017
92017
Audio tagging with connectionist temporal classification model using sequentially labelled data
Y Hou, Q Kong, S Li
International Conference in Communications, Signal Processing, and Systems …, 2018
82018
Semi-supervised sound event detection with convolutional recurrent neural network using weakly labelled data
Y Hou, S Li
DCASE Challenge, Woking, Tech. Rep, 2018
72018
Multi-dimensional edge-based audio event relational graph representation learning for acoustic scene classification
Y Hou, S Song, C Yu, Y Song, W Wang, D Botteldooren
arXiv preprint arXiv:2210.15366, 2022
52022
CT-SAT: Contextual Transformer for Sequential Audio Tagging
Y Hou, Z Liu, B Kang, Y Wang, D Botteldooren
INTERSPEECH 2022, 2022
42022
Rule-embedded network for audio-visual voice activity detection in live musical video streams
Y Hou, Y Deng, B Zhu, Z Ma, D Botteldooren
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
42021
Audio Event-Relational Graph Representation Learning for Acoustic Scene Classification
Y Hou, S Song, C Yu, W Wang, D Botteldooren
IEEE Signal Processing Letters, 1 - 5, 2023
32023
Deep learning techniques for noise annoyance detection: Results from an intensive workshop at the Alan Turing Institute
A Mitchell, E Brown, R Deo, Y Hou, J Kirton-Wingate, J Liang, ...
The Journal of the Acoustical Society of America 153 (3_supplement), A262-A262, 2023
32023
Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion
Y Hou, B Kang, D Botteldooren
2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP …, 2022
32022
Event-related data conditioning for acoustic event classification
Y Hou, D Botteldooren
INTERSPEECH 2022, 2022
32022
Attention-based cross-modal fusion for audio-visual voice activity detection in musical video streams
Y Hou, Z Yu, X Liang, X Du, B Zhu, Z Ma, D Botteldooren
INTERSPEECH 2021, 2021
32021
CLF-AIAD: A Contrastive Learning Framework for Acoustic Industrial Anomaly Detection
Z Liu, Y Hou, H Tang, Á López-Chilet, S Michiels, D Botteldooren, ...
International Conference on Neural Information Processing, 125-137, 2023
22023
AI-based soundscape analysis: Jointly identifying sound sources and predicting annoyance
Y Hou, Q Ren, H Zhang, A Mitchell, F Aletta, J Kang, D Botteldooren
The Journal of the Acoustical Society of America 154 (5), 3145-3157, 2023
22023
Joint Prediction of Audio Event and Annoyance Rating in an Urban Soundscape by Hierarchical Graph Representation Learning
Y Hou, S Song, C Luo, A Mitchell, Q Ren, W Xie, J Kang, W Wang, ...
INTERSPEECH 2023, 2023
22023
CNN-based dual-stream network for audio-visual scene classification
Y Hou, Y Tan, Y Chang, T Huang, S Li, X Shao, D Botteldooren
Tech. Rep., DCASE2021 Challenge, 2021
22021
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