Lucas Rencker

12 papers Misc 4Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2021 J jnl
A Survey and an Extensive Evaluation of Popular Audio Declipping Methods.
IEEE J. Sel. Top. Signal Process.
Pavel Záviska, Pavel Rajmic, Alexey Ozerov, Lucas Rencker
2021 Misc conf
Context-Aware Prosody Correction for Text-Based Speech Editing.
ICASSP
Max Morrison, Lucas Rencker, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo
2021 J jnl
Context-Aware Prosody Correction for Text-Based Speech Editing.
CoRR
Max Morrison, Lucas Rencker, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo
2021 J jnl
Sparse Analysis Model Based Dictionary Learning for Signal Declipping.
IEEE J. Sel. Top. Signal Process.
Bin Li, Lucas Rencker, Jing Dong, Yuhui Luo, Mark D. Plumbley, Wenwu Wang
2020 J jnl
A survey and an extensive evaluation of popular audio declipping methods.
CoRR
Pavel Záviska, Pavel Rajmic, Alexey Ozerov, Lucas Rencker
2019 J jnl
Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements.
IEEE Trans. Signal Process.
Lucas Rencker, Francis R. Bach, Wenwu Wang, Mark D. Plumbley
2018 J jnl
An RIP-Based Performance Guarantee of Covariance-Assisted Matching Pursuit.
IEEE Signal Process. Lett.
Jiayang Wang, Gen Li, Lucas Rencker, Wenwu Wang, Yuantao Gu
2018 — conf
Consistent Dictionary Learning for Signal Declipping.
LVA/ICA
Lucas Rencker, Francis R. Bach, Wenwu Wang, Mark D. Plumbley
2018 Misc conf
Orthogonality-Regularized Masked NMF for Learning on Weakly Labeled Audio Data.
ICASSP
Iwona Sobieraj, Lucas Rencker, Mark D. Plumbley
2017 Misc conf
A greedy algorithm with learned statistics for sparse signal reconstruction.
ICASSP
Lucas Rencker, Wenwu Wang, Mark D. Plumbley
2017 Misc conf
Assessment of musical noise using localization of isolated peaks in time-frequency domain.
ICASSP
Ronan Hamon, Valentin Emiya, Lucas Rencker, Wenwu Wang, Mark D. Plumbley
2017 — conf
Multivariate iterative hard thresholding for sparse decomposition with flexible sparsity patterns.
EUSIPCO
Lucas Rencker, Wenwu Wang, Mark D. Plumbley