Lucas Rencker

According to our database, Lucas Rencker authored at least 10 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

A Survey and an Extensive Evaluation of Popular Audio Declipping Methods.

Pavel Záviska, Pavel Rajmic, Alexey Ozerov, Lucas Rencker

IEEE J. Sel. Top. Signal Process., 2021

Sparse Analysis Model Based Dictionary Learning for Signal Declipping.

Bin Li, Lucas Rencker, Jing Dong, Yuhui Luo, Mark D. Plumbley, Wenwu Wang

IEEE J. Sel. Top. Signal Process., 2021

Context-Aware Prosody Correction for Text-Based Speech Editing.

Max Morrison, Lucas Rencker, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements.

Lucas Rencker, Francis R. Bach, Wenwu Wang, Mark D. Plumbley

IEEE Trans. Signal Process., 2019

2018

An RIP-Based Performance Guarantee of Covariance-Assisted Matching Pursuit.

Jiayang Wang, Gen Li, Lucas Rencker, Wenwu Wang, Yuantao Gu

IEEE Signal Process. Lett., 2018

Orthogonality-Regularized Masked NMF for Learning on Weakly Labeled Audio Data.

Iwona Sobieraj, Lucas Rencker, Mark D. Plumbley

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Consistent Dictionary Learning for Signal Declipping.

Lucas Rencker, Francis R. Bach, Wenwu Wang, Mark D. Plumbley

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017

A greedy algorithm with learned statistics for sparse signal reconstruction.

Lucas Rencker, Wenwu Wang, Mark D. Plumbley

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Assessment of musical noise using localization of isolated peaks in time-frequency domain.

Ronan Hamon, Valentin Emiya, Lucas Rencker, Wenwu Wang, Mark D. Plumbley

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multivariate iterative hard thresholding for sparse decomposition with flexible sparsity patterns.

Lucas Rencker, Wenwu Wang, Mark D. Plumbley

Proceedings of the 25th European Signal Processing Conference, 2017