Ghent University Academic Bibliography

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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) ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing p.716-720
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Axonal delay as a short-term memory for feed forward deep spiking neural networks

Pengfei Sun (UGent) , Longwei Zhu and Dick Botteldooren (UGent)

(2022) ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing p.8932-8936
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Rule-embedded network for audio-visual voice activity detection in live musical video streams

Yuanbo Hou (UGent) , Yi Deng, Bilei Zhu, Zejun Ma and Dick Botteldooren (UGent)

(2021) ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing p.4165-4169
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The Idlab voxsrc-20 submission : large margin fine-tuning and quality-aware score calibration in DNN based speaker verification

Jenthe Thienpondt (UGent) , Brecht Desplanques and Kris Demuynck (UGent)

(2021) ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing p.5814-5818

Academic Bibliography

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

Axonal delay as a short-term memory for feed forward deep spiking neural networks

Rule-embedded network for audio-visual voice activity detection in live musical video streams

The Idlab voxsrc-20 submission : large margin fine-tuning and quality-aware score calibration in DNN based speaker verification

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