Abstract—We propose a simple prior for restoration problems involving oscillatory signals. The prior makes use of an un-derlying analytic frame decomposition with narrow subbands. Other than this, the prior does not have any other parameters, which makes it simple to use and apply. We demonstrate the utility of the proposed prior through some real audio restoration experiments. Index Terms—Inverse problem, audio prior, audio inpainting, saddle point. I
Time-reversal symmetry breaking is a key feature of nearly all natural sounds, caused by the physics...
This paper develops new theory and algorithms to recover signals that are approximately sparse in so...
This thesis presents a variety of soft clipping simulations and their respective de-clipping functio...
The paper presents an algorithm for restoration of local degradations in audio signals. The theoreti...
The paper presents an algorithm for restoration of local degradations in audio signals. The theoreti...
Traditional frequency-based audio restoration methods require complete data in order to perform a de...
In this manuscript, we propose a novel method to perform audio inpainting, i.e., the restoration of ...
We propose a unified modeling and algorithmic framework for audio restoration problem. It encompasse...
In this paper we derive the a posteriori probability for the location of bursts of noise additively ...
We describe in this paper a fully Bayesian approach for sparse audio signal regression in an union o...
Sound signals can be distorted in many dierent ways, one of them is called clipping. A clipped sound...
International audienceWe describe in this paper a fully Bayesian approach for sparse audio signal re...
A measure of temporal predictability is de-ned, and used for blind deconvolution of sound signals. T...
Quantities of archived audio data exist in numerous contexts; examples include radio recordings, rec...
This master’s thesis deals with the restoration of clipped multichannel audio signals based on spars...
Time-reversal symmetry breaking is a key feature of nearly all natural sounds, caused by the physics...
This paper develops new theory and algorithms to recover signals that are approximately sparse in so...
This thesis presents a variety of soft clipping simulations and their respective de-clipping functio...
The paper presents an algorithm for restoration of local degradations in audio signals. The theoreti...
The paper presents an algorithm for restoration of local degradations in audio signals. The theoreti...
Traditional frequency-based audio restoration methods require complete data in order to perform a de...
In this manuscript, we propose a novel method to perform audio inpainting, i.e., the restoration of ...
We propose a unified modeling and algorithmic framework for audio restoration problem. It encompasse...
In this paper we derive the a posteriori probability for the location of bursts of noise additively ...
We describe in this paper a fully Bayesian approach for sparse audio signal regression in an union o...
Sound signals can be distorted in many dierent ways, one of them is called clipping. A clipped sound...
International audienceWe describe in this paper a fully Bayesian approach for sparse audio signal re...
A measure of temporal predictability is de-ned, and used for blind deconvolution of sound signals. T...
Quantities of archived audio data exist in numerous contexts; examples include radio recordings, rec...
This master’s thesis deals with the restoration of clipped multichannel audio signals based on spars...
Time-reversal symmetry breaking is a key feature of nearly all natural sounds, caused by the physics...
This paper develops new theory and algorithms to recover signals that are approximately sparse in so...
This thesis presents a variety of soft clipping simulations and their respective de-clipping functio...