Shiwen Deng
Orcid: 0000-0001-8964-3165
According to our database1,
Shiwen Deng
authored at least 36 papers
between 2010 and 2024.
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Bibliography
2024
Mutual Incoherence and Relative Total Variation Regularizations for Blind Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2024
Sound Activity-Aware Based Cross-Task Collaborative Training for Semi-Supervised Sound Event Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
2023
Task-driven common subspace learning based semantic feature extraction for acoustic event recognition.
Expert Syst. Appl., December, 2023
IEEE Geosci. Remote. Sens. Lett., 2023
Mutual Information-based Embedding Decoupling for Generalizable Speaker Verification.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
IEEE Signal Process. Lett., 2022
2021
Capturing Temporal Dependencies Through Future Prediction for CNN-Based Audio Classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
End-to-End Automatic Pronunciation Error Detection Based on Improved Hybrid CTC/Attention Architecture.
Sensors, 2020
2019
Abnormal heart sound detection using temporal quasi-periodic features and long short-term memory without segmentation.
Biomed. Signal Process. Control., 2019
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
2018
Efficient general sparse denoising with non-convex sparse constraint and total variation regularization.
Digit. Signal Process., 2018
Biomed. Signal Process. Control., 2018
Unsupervised Temporal Feature Learning Based on Sparse Coding Embedded BoAW for Acoustic Event Recognition.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
A Compact and Discriminative Feature Based on Auditory Summary Statistics for Acoustic Scene Classification.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
2017
Expert Syst. Appl., 2017
Heart sound classification based on scaled spectrogram and partial least squares regression.
Biomed. Signal Process. Control., 2017
2016
IEEE Trans. Signal Process., 2016
IEEE Signal Process. Lett., 2016
Towards heart sound classification without segmentation via autocorrelation feature and diffusion maps.
Future Gener. Comput. Syst., 2016
Abnormal Heart Sounds detection based on the Scaled Time-Frequency Representation and Feature Selection.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
2014
Robust minimum statistics project coefficients feature for acoustic environment recognition.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Audio Segment Classification Using Online Learning Based Tensor Representation Feature Discrimination.
IEEE Trans. Speech Audio Process., 2013
Statistical voice activity detection based on sparse representation over learned dictionary.
Digit. Signal Process., 2013
Case based reasoning solution to the problem of sustained learning in keyword spotting.
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Voice activity detection based on conjugate subspace matching pursuit and likelihood ratio test.
EURASIP J. Audio Speech Music. Process., 2011
Online Learning for Classification of Low-rank Representation Features and Its Applications in Audio Segment Classification
CoRR, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Compensation of signal with erasures via sparse representation into its significant subspace.
Proceedings of the 10th International Conference on Information Sciences, 2010
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010
Voice Activity Detection Based on Complex Exponential Atomic Decomposition and Likelihood Ratio Test.
Proceedings of the 20th International Conference on Pattern Recognition, 2010