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Shengchen Li
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2020 – today
- 2024
- [j8]Yizhou Tan
, Haojun Ai
Acoustic Scene Classification Across Cities and Devices via Feature Disentanglement. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1286-1297 (2024) - [c19]Fuyu Gu, Yang Gu, Yiyan Xu, Haoran Sun, Yushan Pan, Shengchen Li, Haiyang Zhang:
Language-based Audio Retrieval with GPT-Augmented Captions and Self-Attended Audio Clips. CSCWD 2024: 858-863 - [c18]Yiqiang Cai, Peihong Zhang, Shengchen Li:
TF-SepNet: An Efficient 1D Kernel Design in Cnns for Low-Complexity Acoustic Scene Classification. ICASSP 2024: 821-825 - [i19]Yiqiang Cai, Shengchen Li, Xi Shao:
Leveraging Self-supervised Audio Representations for Data-Efficient Acoustic Scene Classification. CoRR abs/2408.14862 (2024) - [i18]Yizhou Tan, Yanru Wu, Yuanbo Hou, Xin Xu, Hui Bu, Shengchen Li, Dick Botteldooren, Mark D. Plumbley:
Exploring Differences between Human Perception and Model Inference in Audio Event Recognition. CoRR abs/2409.06580 (2024) - [i17]Shengchen Li, Haobo Zuo, Changhong Fu, Zhiyong Wang, Zhiqiang Xu:
Intelligent Fish Detection System with Similarity-Aware Transformer. CoRR abs/2409.19323 (2024) - 2023
- [j7]Kun Qian, Gyorgy Fazekas, Shengchen Li, Zijin Li, Björn W. Schuller:
Editorial: Human-centred computer audition: sound, music, and healthcare. Frontiers Digit. Health 5 (2023) - [c17]Yizhou Tan, Haojun Ai, Shengchen Li, Feng Zhang:
Transductive Feature Space Regularization for Few-shot Bioacoustic Event Detection. INTERSPEECH 2023: 571-575 - [c16]Xubo Liu, Qiushi Huang, Xinhao Mei, Haohe Liu, Qiuqiang Kong, Jianyuan Sun, Shengchen Li, Tom Ko, Yu Zhang, H. Lilian Tang, Mark D. Plumbley, Volkan Kiliç
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention. INTERSPEECH 2023: 2838-2842 - [i16]Yuqiang Li, Shengchen Li, George Fazekas:
An Comparative Analysis of Different Pitch and Metrical Grid Encoding Methods in the Task of Sequential Music Generation. CoRR abs/2301.13383 (2023) - [i15]Yiqiang Cai, Peihong Zhang, Shengchen Li:
TF-SepNet: An Efficient 1D Kernel Design in CNNs for Low-Complexity Acoustic Scene Classification. CoRR abs/2309.08200 (2023) - 2022
- [j6]Haojun Ai
Error model and simulation for multisource fusion indoor positioning. Int. J. Intell. Syst. 37(3): 2219-2241 (2022) - [j5]Haojun Ai
DRVAT: Exploring RSSI series representation and attention model for indoor positioning. Int. J. Intell. Syst. 37(7): 4065-4091 (2022) - [j4]Qian Shi
A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [c15]Yuqiang Li, Shengchen Li, George Fazekas:
How Music features and Musical Data Representations Affect Objective Evaluation of Music Composition: A Review of CSMT Data Challenge 2020. ISMIR 2022: 93-99 - [c14]Ziyuan Yin, Shengchen Li:
Wireless Radar Breath Detection with Empirical Mode Decomposition Method. SPML 2022: 226-233 - [i14]Jingyi Wang, Shengchen Li:
Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers. CoRR abs/2208.02765 (2022) - [i13]Peiran Yan, Shengchen Li:
An investigation on selecting audio pre-trained models for audio captioning. CoRR abs/2208.06127 (2022) - [i12]Ruowei Xing, Shengchen Li:
Extract fundamental frequency based on CNN combined with PYIN. CoRR abs/2208.08354 (2022) - [i11]Yiqiang Cai, Shengchen Li:
Determining Ratio of Prunable Channels in MobileNet by Sparsity for Acoustic Scene Classification. CoRR abs/2210.15960 (2022) - [i10]Xubo Liu, Qiushi Huang, Xinhao Mei, Haohe Liu, Qiuqiang Kong, Jianyuan Sun, Shengchen Li, Tom Ko, Yu Zhang, H. Lilian Tang, Mark D. Plumbley, Volkan Kiliç, Wenwu Wang:
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention. CoRR abs/2210.16428 (2022) - 2021
- [c13]Xinhao Mei, Qiushi Huang, Xubo Liu, Gengyun Chen, Jingqian Wu, Yusong Wu, Jinzheng Zhao, Shengchen Li, Tom Ko, H. Lilian Tang, Xi Shao, Mark D. Plumbley, Wenwu Wang:
An Encoder-Decoder Based Audio Captioning System with Transfer and Reinforcement Learning. DCASE 2021: 206-210 - [c12]Shengchen Li, Ke Tian, Rui Wang:
Unsupervised Heart Abnormality Detection Based on Phonocardiogram Analysis with Beta Variational Auto-Encoders. ICASSP 2021: 8353-8357 - [i9]Shengchen Li, Ke Tian, Rui Wang:
Unsupervised heart abnormality detection based on phonocardiogram analysis with Beta Variational Auto-Encoders. CoRR abs/2101.05443 (2021) - [i8]Xinhao Mei, Qiushi Huang, Xubo Liu, Gengyun Chen, Jingqian Wu, Yusong Wu, Jinzheng Zhao, Shengchen Li, Tom Ko, H. Lilian Tang, Xi Shao, Mark D. Plumbley, Wenwu Wang:
An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning. CoRR abs/2108.02752 (2021) - 2020
- [j3]Kun Qian, Xiao Li, Haifeng Li, Shengchen Li, Wei Li, Zuoliang Ning, Shuai Yu, Limin Hou, Gang Tang, Jing Lu, Feng Li, Shufei Duan, Chengcheng Du, Yao Cheng, Yujun Wang, Lin Gan, Yoshiharu Yamamoto, Björn W. Schuller
Computer Audition for Healthcare: Opportunities and Challenges. Frontiers Digit. Health 2: 5 (2020) - [c11]Kun Chen, Yusong Wu, Ziyue Wang, Xuan Zhang, Fudong Nian, Shengchen Li, Xi Shao:
Audio Captioning Based on Transformer and Pre-Trained CNN. DCASE 2020: 21-25 - [c10]Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu:
Peking Opera Synthesis via Duration Informed Attention Network. INTERSPEECH 2020: 1226-1230 - [c9]Yuanbo Hou, Frank K. Soong, Jian Luan, Shengchen Li:
Transfer Learning for Improving Singing-Voice Detection in Polyphonic Instrumental Music. INTERSPEECH 2020: 1236-1240 - [i7]Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu:
Peking Opera Synthesis via Duration Informed Attention Network. CoRR abs/2008.03029 (2020) - [i6]Yuanbo Hou, Frank K. Soong, Jian Luan, Shengchen Li:
Transfer Learning for Improving Singing-voice Detection in Polyphonic Instrumental Music. CoRR abs/2008.04658 (2020) - [i5]Shengchen Li, Yinji Jing, Georgy Fazekas:
A novel dataset for the identification of computer generated melodies in the CSMT challenge. CoRR abs/2012.03646 (2020)
2010 – 2019
- 2019
- [c8]Yuanbo Hou, Qiuqiang Kong, Shengchen Li
Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering. ICASSP 2019: 46-50 - [c7]Jun Wang, Shengchen Li
SVD-Based Channel Pruning for Convolutional Neural Network in Acoustic Scene Classification Model. ICME Workshops 2019: 390-395 - [c6]Zhitong Li, Yuanbo Hou, Xiang Xie, Shengchen Li
Multi-level Attention Model with Deep Scattering Spectrum for Acoustic Scene Classification. ICME Workshops 2019: 396-401 - [i4]Yuanbo Hou, Qiuqiang Kong, Shengchen Li, Mark D. Plumbley:
Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering. CoRR abs/1904.12102 (2019) - [i3]Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu:
Synthesising Expressiveness in Peking Opera via Duration Informed Attention Network. CoRR abs/1912.12010 (2019) - 2018
- [c5]Yuanbo Hou, Qiuqiang Kong, Shengchen Li
Audio Tagging With Connectionist Temporal Classification Model Using Sequentially Labelled Data. CSPS (2) 2018: 955-964 - [c4]Yuanbo Hou, Qiuqiang Kong, Jun Wang, Shengchen Li:
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units. DCASE 2018: 78-82 - [c3]Jun Wang, Shengchen Li
Comparing the Influence of Depth and Width of Deep Neural Network Based on Fixed Number of Parameters for Audio Event Detection. ICASSP 2018: 2681-2685 - [i2]Yuanbo Hou, Qiuqiang Kong, Shengchen Li:
Audio Tagging With Connectionist Temporal Classification Model Using Sequential Labelled Data. CoRR abs/1808.01935 (2018) - [i1]Yuanbo Hou, Qiuqiang Kong, Jun Wang, Shengchen Li:
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units. CoRR abs/1811.07072 (2018) - 2017
- [c2]Shengchen Li, Simon Dixon, Mark D. Plumbley:
Clustering Expressive Timing with Regressed Polynomial Coefficients Demonstrated by a Model Selection Test. ISMIR 2017: 457-463 - 2016
- [b1]Shengchen Li:
Expressive timing analysis in classical piano performance by mathematical model selection. Queen Mary University of London, UK, 2016 - 2015
- [c1]Shengchen Li
The Clustering of Expressive Timing Within a Phrase in Classical Piano Performances by Gaussian Mixture Models. CMMR 2015: 322-345 - 2014
- [j2]Katerina Kosta, Shengchen Li
2013 Performance Studies Network International Conference. Comput. Music. J. 38(2): 78-80 (2014) - 2012
- [j1]Dan Liu, Shengchen Li
Competitive Business Model in Audio-book Industry: A Case of China. J. Softw. 7(1): 33-40 (2012)
Coauthor Index
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