Competitive Business Model in Audio-book Industry: A Case of China. - Dan Liu; Shengchen Li; Tianchi Yang (J. Softw., 2012)

2013 Performance Studies Network International Conference. - Katerina Kosta; Shengchen Li (Comput. Music. J., 2014)

The Clustering of Expressive Timing Within a Phrase in Classical Piano Performances by Gaussian Mixture Models. - Shengchen Li; Dawn A. A. Black; Mark D. Plumbley (CMMR, 2015)

Expressive timing analysis in classical piano performance by mathematical model selection. - Shengchen Li (2016)

Clustering Expressive Timing with Regressed Polynomial Coefficients Demonstrated by a Model Selection Test. - Shengchen Li; Simon Dixon; Mark D. Plumbley (ISMIR, 2017)

Audio Tagging With Connectionist Temporal Classification Model Using Sequentially Labelled Data. - Yuanbo Hou; Qiuqiang Kong; Shengchen Li (CSPS (2), 2018)

Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units. - Yuanbo Hou; Qiuqiang Kong; Jun Wang; Shengchen Li (DCASE, 2018)

Comparing the Influence of Depth and Width of Deep Neural Network Based on Fixed Number of Parameters for Audio Event Detection. - Jun Wang; Shengchen Li (ICASSP, 2018)

Audio Tagging With Connectionist Temporal Classification Model Using Sequential Labelled Data. - Yuanbo Hou; Qiuqiang Kong; Shengchen Li (CoRR, 2018)

Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering. - Yuanbo Hou; Qiuqiang Kong; Shengchen Li; Mark D. Plumbley (ICASSP, 2019)

Multi-level Attention Model with Deep Scattering Spectrum for Acoustic Scene Classification. - Zhitong Li; Yuanbo Hou; Xiang Xie; Shengchen Li; Liqiang Zhang; Shixuan Du; Wei Liu (ICME Workshops, 2019)

SVD-Based Channel Pruning for Convolutional Neural Network in Acoustic Scene Classification Model. - Jun Wang; Shengchen Li; Wenwu Wang 001 (ICME Workshops, 2019)

Synthesising Expressiveness in Peking Opera via Duration Informed Attention Network. - Yusong Wu; Shengchen Li; Chengzhu Yu; Heng Lu 004; Chao Weng; Liqiang Zhang; Dong Yu 001 (CoRR, 2019)

Audio Captioning Based on Transformer and Pre-Trained CNN. - Kun Chen; Yusong Wu; Ziyue Wang; Xuan Zhang; Fudong Nian; Shengchen Li; Xi Shao (DCASE, 2020)

Transfer Learning for Improving Singing-Voice Detection in Polyphonic Instrumental Music. - Yuanbo Hou; Frank K. Soong; Jian Luan 001; Shengchen Li (INTERSPEECH, 2020)

Peking Opera Synthesis via Duration Informed Attention Network. - Yusong Wu; Shengchen Li; Chengzhu Yu; Heng Lu 004; Chao Weng; Liqiang Zhang; Dong Yu 001 (INTERSPEECH, 2020)

A novel dataset for the identification of computer generated melodies in the CSMT challenge. - Shengchen Li; Yinji Jing; Georgy Fazekas (CoRR, 2020)

Computer Audition for Healthcare: Opportunities and Challenges. - Kun Qian 003; Xiao Li; Haifeng Li 001; Shengchen Li; Wei Li 012; Zuoliang Ning; Shuai Yu 002; Limin Hou; Gang Tang; Jing Lu; Feng Li; Shufei Duan; et al. (Frontiers Digit. Health, 2020)

An Encoder-Decoder Based Audio Captioning System with Transfer and Reinforcement Learning. - Xinhao Mei; Qiushi Huang; Xubo Liu 001; Gengyun Chen; Jingqian Wu; Yusong Wu; Jinzheng Zhao; Shengchen Li; Tom Ko; H. Lilian Tang; Xi Shao; Mark D. Plumbley; et al. (DCASE, 2021)

Unsupervised Heart Abnormality Detection Based on Phonocardiogram Analysis with Beta Variational Auto-Encoders. - Shengchen Li; Ke Tian; Rui Wang (ICASSP, 2021)

How Music features and Musical Data Representations Affect Objective Evaluation of Music Composition: A Review of CSMT Data Challenge 2020. - Yuqiang Li; Shengchen Li; George Fazekas (ISMIR, 2022)

Wireless Radar Breath Detection with Empirical Mode Decomposition Method. - Ziyuan Yin; Shengchen Li (SPML, 2022)

Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers. - Jingyi Wang; Shengchen Li (CoRR, 2022)

An investigation on selecting audio pre-trained models for audio captioning. - Peiran Yan; Shengchen Li (CoRR, 2022)

Extract fundamental frequency based on CNN combined with PYIN. - Ruowei Xing; Shengchen Li (CoRR, 2022)

Determining Ratio of Prunable Channels in MobileNet by Sparsity for Acoustic Scene Classification. - Yiqiang Cai; Shengchen Li (CoRR, 2022)

DRVAT: Exploring RSSI series representation and attention model for indoor positioning. - Haojun Ai; Xu Sun 010; Jingjie Tao; Mengyun Liu; Shengchen Li (Int. J. Intell. Syst., 2022)

Error model and simulation for multisource fusion indoor positioning. - Haojun Ai; Jingjie Tao; Shan Ai; Tianshui Xu; Ning Li; Kaifeng Tang; Sheng Zhang; Yuhong Yang 001; Shengchen Li (Int. J. Intell. Syst., 2022)

A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection. - Qian Shi 001; Mengxi Liu; Shengchen Li; Xiaoping Liu 001; Fei Wang; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention. - Xubo Liu 001; Qiushi Huang; Xinhao Mei; Haohe Liu; Qiuqiang Kong; Jianyuan Sun; Shengchen Li; Tom Ko; Yu Zhang 006; H. Lilian Tang; Mark D. Plumbley; Volkan Kiliç; et al. (INTERSPEECH, 2023)

Transductive Feature Space Regularization for Few-shot Bioacoustic Event Detection. - Yizhou Tan; Haojun Ai; Shengchen Li; Feng Zhang (INTERSPEECH, 2023)

An Comparative Analysis of Different Pitch and Metrical Grid Encoding Methods in the Task of Sequential Music Generation. - Yuqiang Li; Shengchen Li; George Fazekas (CoRR, 2023)

Editorial: Human-centred computer audition: sound, music, and healthcare. - Kun Qian 003; Gyorgy Fazekas; Shengchen Li; Zijin Li; Björn W. Schuller (Frontiers Digit. Health, 2023)

Language-based Audio Retrieval with GPT-Augmented Captions and Self-Attended Audio Clips. - Fuyu Gu; Yang Gu; Yiyan Xu; Haoran Sun; Yushan Pan; Shengchen Li; Haiyang Zhang 004 (CSCWD, 2024)

TF-SepNet: An Efficient 1D Kernel Design in Cnns for Low-Complexity Acoustic Scene Classification. - Yiqiang Cai; Peihong Zhang; Shengchen Li (ICASSP, 2024)

Speech Formants Integration for Generalized Detection of Synthetic Speech Spoofing Attacks. - Kexu Liu; Yuanxin Wang; Shengchen Li; Xi Shao (INTERSPEECH, 2024)

Intelligent Fish Detection System with Similarity-Aware Transformer. - Shengchen Li; Haobo Zuo; Changhong Fu 001; Zhiyong Wang; Zhiqiang Xu (IROS, 2024)

Leveraging Self-supervised Audio Representations for Data-Efficient Acoustic Scene Classification. - Yiqiang Cai; Shengchen Li; Xi Shao (CoRR, 2024)

Exploring Differences between Human Perception and Model Inference in Audio Event Recognition. - Yizhou Tan; Yanru Wu; Yuanbo Hou; Xin Xu; Hui Bu; Shengchen Li; Dick Botteldooren; Mark D. Plumbley (CoRR, 2024)

Acoustic Scene Classification Across Cities and Devices via Feature Disentanglement. - Yizhou Tan; Haojun Ai; Shengchen Li; Mark D. Plumbley (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

City2Scene: Improving Acoustic Scene Classification with City Features. - Yiqiang Cai; Yizhou Tan; Peihong Zhang; Yuxuan Liu; Shengchen Li; Xi Shao; Mark D. Plumbley (CoRR, 2025)

NMCSE: Noise-Robust Multi-Modal Coupling Signal Estimation Method via Optimal Transport for Cardiovascular Disease Detection. - Peihong Zhang; Zhixin Li; Rui Sang; Yuxuan Liu; Yiqiang Cai; Yizhou Tan; Shengchen Li (CoRR, 2025)