Shengchen Li
Orcid: 0000-0002-2488-298X
According to our database1,
Shengchen Li
authored at least 34 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
IEEE ACM Trans. Audio Speech Lang. Process., 2024
2023
Frontiers Digit. Health, March, 2023
TF-SepNet: An Efficient 1D Kernel Design in CNNs for Low-Complexity Acoustic Scene Classification.
CoRR, 2023
An Comparative Analysis of Different Pitch and Metrical Grid Encoding Methods in the Task of Sequential Music Generation.
CoRR, 2023
2022
A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
Int. J. Intell. Syst., 2022
DRVAT: Exploring RSSI series representation and attention model for indoor positioning.
Int. J. Intell. Syst., 2022
Determining Ratio of Prunable Channels in MobileNet by Sparsity for Acoustic Scene Classification.
CoRR, 2022
CoRR, 2022
Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers.
CoRR, 2022
Proceedings of the 2022 5th International Conference on Signal Processing and Machine Learning, 2022
How Music features and Musical Data Representations Affect Objective Evaluation of Music Composition: A Review of CSMT Data Challenge 2020.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022
2021
Unsupervised Heart Abnormality Detection Based on Phonocardiogram Analysis with Beta Variational Auto-Encoders.
Proceedings of the IEEE International Conference on Acoustics, 2021
An Encoder-Decoder Based Audio Captioning System with Transfer and Reinforcement Learning.
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021
2020
Frontiers Digit. Health, 2020
A novel dataset for the identification of computer generated melodies in the CSMT challenge.
CoRR, 2020
Proceedings of the Interspeech 2020, 2020
Transfer Learning for Improving Singing-Voice Detection in Polyphonic Instrumental Music.
Proceedings of the Interspeech 2020, 2020
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020
2019
CoRR, 2019
SVD-Based Channel Pruning for Convolutional Neural Network in Acoustic Scene Classification Model.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019
Multi-level Attention Model with Deep Scattering Spectrum for Acoustic Scene Classification.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019
Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Audio Tagging With Connectionist Temporal Classification Model Using Sequential Labelled Data.
CoRR, 2018
Comparing the Influence of Depth and Width of Deep Neural Network Based on Fixed Number of Parameters for Audio Event Detection.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018
Audio Tagging With Connectionist Temporal Classification Model Using Sequentially Labelled Data.
Proceedings of the Communications, Signal Processing, and Systems, 2018
2017
Clustering Expressive Timing with Regressed Polynomial Coefficients Demonstrated by a Model Selection Test.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017
2016
Expressive timing analysis in classical piano performance by mathematical model selection.
PhD thesis, 2016
2015
The Clustering of Expressive Timing Within a Phrase in Classical Piano Performances by Gaussian Mixture Models.
Proceedings of the Music, Mind, and Embodiment - 11th International Symposium, 2015
2014
2012