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 | 49 | 2020 |
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 | 37 | 2019 |
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 | 33 | 2021 |
Consistent dictionary learning for signal declipping L Rencker, F Bach, W Wang, MD Plumbley Latent Variable Analysis and Signal Separation: 14th International …, 2018 | 21 | 2018 |
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 | 10 | 2017 |
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 | 9 | 2018 |
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 | 9 | 2018 |
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 | 8 | 2021 |
Fast iterative shrinkage for signal declipping and dequantization L Rencker, F Bach, W Wang, MD Plumbley arXiv preprint arXiv:1812.01540, 2018 | 7 | 2018 |
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 | 3 | 2017 |
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 | 3 | 2017 |
Sparse signal recovery from linear and nonlinear compressive measurements L Rencker University of Surrey, 2019 | 1 | 2019 |
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 | | |