[ Dr. Shengchen LI ]

DCASE 2024 "Liveraging self-supervised audio representations for data-efficient acoustic scene classification", Yiqiang Cai, Shengchen Li, Xi Shao, Proceedings of the Detection and Classification of Acoustic Scenes and Events 2024 Workshop (DCASE2024), Tokyo, Japan, 21-25 Oct 2024.

INTERSPEECH 2024 "Speech Formants Integration for Generalized Detection of Synthetic Speech Spoofing Attacks", Kexu Liu, Shengchen Li, Xi Shao, Proceedings of INTERSPEECH 2024, Kos Island, Greece, 1-5 Sep 2024.

ICASSP 2024 "TF-SepNet: An Efficient 1D Kernel Design in CNNs for Low-Complexity Acoustic Scene Classification", Yiqinag Cai, Peihong Zhang, Shengchen Li, 48th IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP'24), 2024.

TASLP 2024 "Acoustic Scene Classification Across Cities and Devices via Feature Disentanglement", Yizhou Tan, Haojun Ai, Shengchen Li, Mark D. Plumbley, IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), pages 1286-1297, 2024.

CMMR 2023 "Pitch Class and Octave-based Pitch Embedding Training Strategies of Symbolic Music Generation", Yuqiang Li, Shengchen Li and Györge Fazekas, Proceeding of 16th International Symposium on Computer Music Multidisciplinary Research, pages 86-97, 2023.

CSMT2023 "Exploring the Effects of Channel Sparsity on Neural Network Pruning for Acoustic Scene Classification", Proceedings of the 10th Conference on Sound and Music Technology, pages 101-112, Guangzhou, China, 2023.

INTERSPEECH 2023 "Transductive Feature Space Regularization for Few-shot Bioacoustic Event Detection", Yizhou Tan, Haojun Ai, Shengchen Li, Fang Zhang, Proceedings of the Twenty-Fourth Conference of the International Speech Communication Association (INTERSPEECH), pages 571-575, 2023.

INTERSPEECH 2023 "Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention", Xubo Liu, Qiushi Huang, Xinhao Mei, Haohe Liu, Qiuqiang Kong, Jianyuan Sun, Shengchen Li, Tom Ko, Yu Zhang, Lilian Tang, Mark Plumbley, Volkan Kilic, and Wenwu Wang, Proceedings of the Twenty-Fourth Conference of the International Speech Communication Association (INTERSPEECH), pages 2838-2842, 2023.

ISMIR 2022 "How Music Features and Musical Data Representations Affect Objective Evaluation of Music Composition: a Review of the CSMT data challenge 2020", Yuqiang Li, Shengchen Li, George Fazekas, Proceedings of Annual Conference of International Society of Music Information Retrieval, pp. 93--99, 2022.

FMed 2021 "Unsupervised Phonocardiogram Analysis With Distribution Density Based Variational Auto-Encoders", Shengchen Li, Ke Tian, Frontiers in Medicine, Vol. 8, pp. 1071, 2021.

ICASSP 2021 "Unsupervised Heart Abnormality Detection Based on Phonocardiogram Analysis with Beta Variational Auto-Encoders", Shengchen Li, Ke Tian, Rui Wang, Proceedings of the 45th IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP'21) , IEEE Signal Processing Society, Toronto, Canada, 6-11 June 2021.

CSMT 2020 "A Novel Dataset for the Identification of Computer Generated Melodies in the CSMT Challenge", Shengchen Li, Yinji Jing, Gyorgy Fazekas, Proceedings of Conference on Sound and Music Technology (CSMT'20), Taiyuan, China, 5-8 Nov, 2020.

CSMT 2020 "Adversarial Domain Adaptation for Open Set Acoustic Scene Classification", Chunxia Ren, Shengchen Li, Proceedings of Conference on Sound and Music Technology, Taiyuan, China, 5-8 Nov, 2020.

CSMT 2020 "Two-Stage Classification Learning for Open Set Acoustic Scene Classification", Chunxia Ren, Shengchen Li, Proceedings of Conference on Sound and Music Technology, Taiyuan, China, 5-8 Nov, 2020.

DCASE 2020 "Audio Captioning Based on Transformer and Pre-Trained CNN", Kun Chen, Yusong Wu, Ziyue Wang, Xuan Zhang, Fudong Nian, Shengchen Li, Xi Shao, Proceedings of Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2020), Tokyo, Japan, 2-4 Nov, 2020.

INTERSPEECH 2020 "Transfer Learning for Improving Singing-Voice Detection in Polyphonic Instrumental Music", Yuanbo Hou, Frank K. Soong, Jian Luan, Shengchen Li, Proceedings of INTERSPEECH 2020, Shanghai, China, 26-29 Oct 2020.

INTERSPEECH 2020 "Peking Opera Synthesis via Duration Informed Attention Network", Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu, Proceedings of INTERSPEECH 2020, Shanghai, China, 26-29 Oct 2020.

Journal of Fudan "An Introduction to a Symbolic Music Dataset of Chinese Guqin Pieces and Its Application Example" (In Chinese), Shengchen Li, Yusong Wu, Jounal of Fudan, 2020, 59(03):276-285.

CMMR 2019 "Distinguishing Chinese Guqin and Western Baroque pieces based on statistical model analysis of melodies", Yusong Wu, Shengchen Li, Proceedings of Computer Music Multidisciplinary Research 2019 (CMMR 2019) , Marseille, France, 14-18 Oct 2019.

ICMEW 2019 "SVD-Based Channel Pruning for Convolutional Neural Network in Acoustic Scene Classification Model", Jun Wang, Shengchen Li, Wenwu Wang, Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2019), IEEE, Shanghai, China, 8-12 July 2019.

ICMEW 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, IEEE International Conference on Multimedia and Expo (ICME 2019), IEEE, Shanghai, China, 8-12 July 2019.

ICASSP 2019 "Sound Event Detection with Sequentially Labelled Data based on Connectionist Temporal Classification and Unsupervised Clustering", Yuanbo Hou, Qiuqiang Kong, Shengchen Li, Mark D. Plumbley, Proceedings of the 44th IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP'19), IEEE Signal Processing Society, Brighton, United Kingdom, 12-17 May 2019.

CSMT 2018 "Bird Sound Detection Based on Binarized Convolutional Neural Networks", Jia'nan Song, Shengchen Li, Proceedings of Conference on Sound and Music Technology (CSMT 2018), Xiamen, China, 24-26 Nov 2018.

CSMT 2018 "A Comparison of Attention Mechanisms of Convolutional Neural Network in Weakly Labelled Audio Tagging", Yuanbo Hou, Qiuqiang Kong, Shengchen Li, Proceeding of Conference on Sound and Music Technology (CSMT 2018), Xiamen, China, 24-26 Nov 2018.

CSMT 2018 "A Standard MIDI File Steganography Based on Music Perception in Note Duration", Lei Guan, Yinji Jing, Shengchen Li, Ru Zhang, Proceedings of Conference on Sound and Music Technology (CSMT 2018), Xiamen, China, 24-26 Nov 2018.

DCASE 2018 "Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units", Yuanbo Hou, Qiuqiang Kong, Jun Wang, Shengchen Li, Proceedings of Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2018), Woking, United Kingdom,

CCC 2018 "A demonstration of hierarchical structure usage in expressive timing analysis by model selection tests", Shengchen Li, Simon Dixon, Mark D. Plumbley, Proceedings of China Control Conference (CCC 2018) , Wuhan, China, 25-27 Aug, 2018.

CSPS 2018 "Audio Tagging with Connectionist Temporal Classification Model Using Sequential Labelled Data", Yuanbo Hou, Qiuqiang Kong, Shengchen Li, Proceedings of International Conference on Communications, Signal Processing and Systems (CSPS 2018), Dalian, China, 14-16 Jul, 2018.

Journal of Fudan "Research of Energy Distributions of Violin Harmonics based on Mathematical Models" (In Chinese), Bo Yang, Shengchen Li, Baoqiang Han, Jounal of Fudan, 2018, 57(03):314-319.

Application of Electronic Technique "A low power and high speed decoder design based on FPGA", Songjiang Zhou, Shengchen Li, Ming Liu, Application of Electronic Technique, 2018, 44(04):27-32.

ICASSP 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, Proceedings of the 43th IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP'18), IEEE Signal Processing Society, Calgary, Canada, 15-20 April 2018.

ISMIR 2017 "Clustering Expressive Timing with Regressed Polynomial Coefficients Demonstrated by a Model Selection Test", Shengchen Li, Simon Dixon, Mark D. Plumbley, Proceeding of International Society for Music Information Retrieval Conference (ISMIR 2017), Suzhou, China, 23-27 Oct 2017.

SMC 2016 "A model selection test for factors affecting the choice of expressive timing clusters for a phrase", Shengchen Li, Simon Dixon, Dawn A. A. Black, Mark D. Plumbley, Proceeding of Sound and Music Computing (SMC 2016), Hamburg, Germany, 31 Aug-3 Sep 2016.

CMMR 2015 "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, Proceeding of Computer Music Multidisciplinary Research 2015 (CMMR 2015), Plymouth, United Kingdom, 16-19 Jun 2015.

ICMPC 2014 "Evidence that Phrase-Level Tempo Variation May be Represented Using a Limited Dictionary", Shengchen Li, Dawn A. A. Black, Elaine Chew, Mark D. Plumbley, Proceeding of International Conference on Music Perception and Cognition (ICMPC 2014), Seoul, Korea, 4-8, Aug, 2014.

Publications