Acoustic Echoes are the focus of my Ph.D. thesis, in terms of:
- their estimation,
- their usage for boosting audio inverse problem.
Echo Estimation
1. Blaster: optimization-based
- BLASTER: An Off-Grid Method for Blind and Regularized Acoustic Echoes Retrieval D. Di Carlo, Diego, C. Elvira, A. Deleforge, N. Bertin and R. Gibonval in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
resurces:
2. Lantern: learning-based
Work in progress and currently unpublished.
Echo-related Application
Mirage: Source Localization
- MIRAGE: 2D Source Localization Using Microphone Pair Augmentation with Echoes D. Di Carlo, A. Deleforge and N. Bertin in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
resurces:
Separake: Source Separation
- SEPARAKE: Source Separation with a Little Help from Echoes R. Scheibler, D. Di Carlo, A. Deleforge and I. Dokmanic in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
resurces:
- paper
- code
- listening demo (you need to scroll a little bit)
- slides
Brioche: Speech Enhancement
Work in progress and currently unpublished.
Data
Picnic of the Musis
Work in progress and currently unpublished.
dEchorate
Work in progress and currently unpublished.