4 papers
Context-Aware Prosody Correction for Text-Based Speech Editing
Max Morrison, Lucas Rencker, Zeyu Jin +3
Text-based speech editors expedite the process of editing speech recordings by permitting editing via intuitive cut, copy, and paste operations on a speech transcript. A major draw…
A survey and an extensive evaluation of popular audio declipping methods
Pavel Záviška, Pavel Rajmic, Alexey Ozerov +1
Dynamic range limitations in signal processing often lead to clipping, or saturation, in signals. The task of audio declipping is estimating the original audio signal, given its cl…
Fast Iterative Shrinkage for Signal Declipping and Dequantization
Lucas Rencker, Francis Bach, Wenwu Wang +1
We address the problem of recovering a sparse signal from clipped or quantized measurements. We show how these two problems can be formulated as minimizing the distance to a convex…
Sparse Recovery and Dictionary Learning from Nonlinear Compressive Measurements
Lucas Rencker, Francis Bach, Wenwu Wang +1
Sparse coding and dictionary learning are popular techniques for linear inverse problems such as denoising or inpainting. However in many cases, the measurement process is nonlinea…