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BLASTER: An off-grid method for blind and regularized acoustic echoes retrieval

Citation Author(s):
Clement Elvira, Nancy Bertin, Remi Gribonval
Submitted by:
Diego DI CARLO
Last updated:
3 May 2020 - 6:48am
Document Type:
Presentation Slides
Document Year:
2020
Event:
Presenters Name:
Diego Di Carlo
Paper Code:
5390

Abstract 

Abstract: 

Acoustic echoes retrieval is a research topic that is gaining importance in many speech and audio signal processing applications such as speech enhancement, source separation, dereverberation and room geometry estimation. This work proposes a novel approach to blindly retrieve the off-grid timing of early acoustic echoes from a stereophonic recording of an unknown sound source such as speech. It builds on the recent framework of continuous dictionaries. In contrast with existing methods, the proposed approach does not rely on parameter tuning nor peak picking techniques by working directly in the parameter space of interest. The accuracy and ro-bustness of the method are assessed on challenging simulated setups with varying noise and reverberation levels and are compared to two state-of-the-art methods.

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icassp2020blaster.pdf

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