Shengchen Li
Shengchen Li
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Self-attention mechanism based system for dcase2018 challenge task1 and task4
J Wang, S Li
Proc. DCASE Challenge, 1-5, 2018
Audio Captioning Based on Transformer and Pre-Trained CNN.
K Chen, Y Wu, Z Wang, X Zhang, F Nian, S Li, X Shao
DCASE, 21-25, 2020
Computer audition for healthcare: Opportunities and challenges
K Qian, X Li, H Li, S Li, W Li, Z Ning, S Yu, L Hou, G Tang, J Lu, F Li, ...
Frontiers in Digital Health 2, 5, 2020
Competitive Business Model in Audio-book Industry: A Case of China.
D Liu, S Li, T Yang
J. Softw. 7 (1), 33-40, 2012
An encoder-decoder based audio captioning system with transfer and reinforcement learning
X Mei, Q Huang, X Liu, G Chen, J Wu, Y Wu, J Zhao, S Li, T Ko, HL Tang, ...
arXiv preprint arXiv:2108.02752, 2021
DCASE 2019 challenge task1 technical report
H Zhu, C Ren, J Wang, S Li, L Wang, L Yang
Samsung Research China-Beijing, Beijing University of Posts and …, 2019
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units
Y Hou, Q Kong, J Wang, S Li
arXiv preprint arXiv:1811.07072, 2018
Audio captioning based on transformer and pre-training for 2020 DCASE audio captioning challenge
Y Wu, K Chen, Z Wang, X Zhang, F Nian, S Li, X Shao
DCASE2020 Challenge, Tech. Rep., 2020
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
An encoder-decoder based audio captioning system with transfer and reinforcement learning for DCASE challenge 2021 task 6
X Mei, Q Huang, X Liu, G Chen, J Wu, Y Wu, J Zhao, S Li, T Ko, HL Tang, ...
DCASE2021 Challenge, Tech. Rep, Tech. Rep, 2021
Transfer learning for music classification and regression tasks using artist tags
L Wang, H Zhu, X Zhang, S Li, W Li
Proceedings of the 7th Conference on Sound and Music Technology (CSMT), 81-89, 2020
Bird sound detection based on binarized convolutional neural networks
J Song, S Li
Proceedings of the 6th conference on sound and music technology (CSMT), 63-71, 2019
Sound event detection in real life audio using multimodel system
Y Hou, S Li
DCASE2017 Challenge, Tech. Rep, 2017
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
Clustering expressive timing with regressed polynomial coefficients demonstrated by a model selection test
S Li, S Dixon, M Plumbley
Proceedings of the 18th International Society for Music Information …, 2017
Evidence that phrase-level tempo variation may be represented using a limited dictionary
S Li, D Black, E Chew, M Plumbley
ICMPC13-APSCOM5–13th International Conference on Music Perception and …, 2014
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
Semi-supervised sound event detection with convolutional recurrent neural network using weakly labelled data
Y Hou, S Li
DCASE Challenge, Woking, Tech. Rep, 2018
Comparing the influence of depth and width of deep neural network based on fixed number of parameters for audio event detection
J Wang, S Li
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Multi-frame concatenation for detection of rare sound events based on deep neural network
J Wang, S Li
no. November, 2017
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