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 | 21 | 2019 |
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 | 19 | 2018 |
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 | 18 | 2022 |
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 | 14 | 2019 |
Transfer Learning for Improving Singing-voice Detection in Polyphonic Instrumental Music Y Hou, FK Soong, J Luan, S Li INTERSPEECH 2020, 2020 | 12 | 2020 |
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 | 9 | 2017 |
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 | 8 | 2023 |
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 | 8 | 2018 |
Semi-supervised sound event detection with convolutional recurrent neural network using weakly labelled data Y Hou, S Li DCASE Challenge, Woking, Tech. Rep, 2018 | 7 | 2018 |
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 | 6 | 2023 |
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 | 6 | 2022 |
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 | 6 | 2021 |
CT-SAT: Contextual Transformer for Sequential Audio Tagging Y Hou, Z Liu, B Kang, Y Wang, D Botteldooren INTERSPEECH 2022, 2022 | 5 | 2022 |
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 | 4 | 2023 |
Cooperative scene-event modelling for acoustic scene classification Y Hou, B Kang, A Mitchell, W Wang, J Kang, D Botteldooren IEEE/ACM transactions on audio, speech, and language processing, 2023 | 3 | 2023 |
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 | 3 | 2022 |
Event-related data conditioning for acoustic event classification Y Hou, D Botteldooren INTERSPEECH 2022, 2022 | 3 | 2022 |
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 | 3 | 2021 |
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 | 3 | 2021 |
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 | 2 | 2023 |