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Lucas Rencker
Lucas Rencker
Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey
Verified email at surrey.ac.uk - Homepage
Title
Cited by
Cited by
Year
A survey and an extensive evaluation of popular audio declipping methods
P Záviška, P Rajmic, A Ozerov, L Rencker
IEEE Journal of Selected Topics in Signal Processing 15 (1), 5-24, 2020
452020
Sparse recovery and dictionary learning from nonlinear compressive measurements
L Rencker, F Bach, W Wang, MD Plumbley
IEEE Transactions on Signal Processing 67 (21), 5659-5670, 2019
352019
Context-aware prosody correction for text-based speech editing
M Morrison, L Rencker, Z Jin, NJ Bryan, JP Caceres, B Pardo
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
292021
Consistent dictionary learning for signal declipping
L Rencker, F Bach, W Wang, MD Plumbley
Latent Variable Analysis and Signal Separation: 14th International …, 2018
212018
Assessment of musical noise using localization of isolated peaks in time-frequency domain
R Hamon, V Emiya, L Rencker, W Wang, M Plumbley
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
102017
Orthogonality-regularized masked NMF for learning on weakly labeled audio data
I Sobieraj, L Rencker, MD Plumbley
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
92018
An RIP-based performance guarantee of covariance-assisted matching pursuit
J Wang, G Li, L Rencker, W Wang, Y Gu
IEEE Signal Processing Letters 25 (6), 828-832, 2018
92018
Sparse analysis model based dictionary learning for signal declipping
B Li, L Rencker, J Dong, Y Luo, MD Plumbley, W Wang
IEEE Journal of Selected Topics in Signal Processing 15 (1), 25-36, 2021
82021
Fast iterative shrinkage for signal declipping and dequantization
L Rencker, F Bach, W Wang, MD Plumbley
arXiv preprint arXiv:1812.01540, 2018
72018
Multivariate Iterative Hard Thresholding for sparse decomposition with flexible sparsity patterns
L Rencker, W Wang, MD Plumbley
2017 25th European Signal Processing Conference (EUSIPCO), 2156-2160, 2017
32017
A greedy algorithm with learned statistics for sparse signal reconstruction
L Rencker, W Wang, MD Plumbley
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
32017
Sparse signal recovery from linear and nonlinear compressive measurements
L Rencker
University of Surrey, 2019
12019
Context-aware prosody correction of edited speech
M Morrison, Z Jin, N Bryan, JPC Chomali, L Rencker
US Patent 11,830,481, 2023
2023
ISSUE ON RECONSTRUCTION OF AUDIO FROM INCOMPLETE OR HIGHLY DEGRADED OBSERVATIONS
P Rajmic, N Bertin, V Emiya, N Holighaus, A Ozerov, P Záviška, ...
ORTHOGONALITY-REGULARIZED MASKED NMF WITH KL-DIVERGENCE FOR LEARNING ON WEAKLY LABELED AUDIO DATA
I Sobieraj, L Rencker, MD Plumbley
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