Ghent University Academic Bibliography

Your filters: cql: author="Wang, Wenwu" or (type any "bookEditor issueEditor" and editor="Wang, Wenwu")

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Cooperative scene-event modelling for acoustic scene classification

Yuanbo Hou (UGent) , Bo Kang (UGent) , Andrew Mitchell, Wenwu Wang, Jian Kang and Dick Botteldooren (UGent)

(2024) IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING. 32. p.68-82
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Multi-level graph learning for audio event classification and human-perceived annoyance rating prediction

Yuanbo Hou (UGent) , Qiaoqiao Ren (UGent) , Siyang Song, Yuxin Song, Wenwu Wang and Dick Botteldooren (UGent)

(2024) 2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, ICASSP 2024. In International Conference on Acoustics Speech and Signal Processing ICASSP p.716-720
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GCT : gated contextual transformer for sequential audio tagging

Yuanbo Hou (UGent) , Yun Wang, Wenwu Wang and Dick Botteldooren (UGent)

(2023) ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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Audio event-relational graph representation learning for acoustic scene classification

Yuanbo Hou (UGent) , Siyang Song, Chuang Yu, Wenwu Wang and Dick Botteldooren (UGent)

(2023) IEEE SIGNAL PROCESSING LETTERS. 30. p.1382-1386
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Joint prediction of audio event and annoyance rating in an urban soundscape by hierarchical graph representation learning

Yuanbo Hou (UGent) , Siyang Song, Cheng Luo, Andrew Mitchell, Qiaoqiao Ren (UGent) , Weicheng Xie, Jian Kang, Wenwu Wang, Dick Botteldooren (UGent) and [missing] Int Speech Commun Assoc

(2023) INTERSPEECH 2023. In Interspeech p.331-335

Academic Bibliography

Cooperative scene-event modelling for acoustic scene classification

Multi-level graph learning for audio event classification and human-perceived annoyance rating prediction

GCT : gated contextual transformer for sequential audio tagging

Audio event-relational graph representation learning for acoustic scene classification

Joint prediction of audio event and annoyance rating in an urban soundscape by hierarchical graph representation learning

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