講演・口頭発表等

2017年12月7日

Comparison of reverberation models for sparse sound field decomposition

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
  • Shoichi Koyama
  • ,
  • Shoichi Koyama
  • ,
  • Laurent Daudet

© 2017 IEEE. Sparse representations of sound fields have become popular in various acoustic inverse problems. The simplest models assume spatial sparsity, where a small number of sound sources are located in the near-field. However, the performance of these models deteriorates in the presence of strong reverberation. To properly treat the reverberant components, we introduce three types of reverberation models: a low-rank model, a sparse model in the plane-wave domain, and a combined low-rank+sparse model. We discuss corresponding decomposition algorithms based on ADMM convex optimization. Numerical simulations indicate that the decomposition accuracy is significantly improved by the additive model of low-rank and sparse plane wave models.

リンク情報
DOI
https://doi.org/10.1109/WASPAA.2017.8170026
Scopus
https://www.scopus.com/record/display.uri?eid=2-s2.0-85042384773&origin=inward
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042384773&origin=inward