Permutation-Alignment Method Using Manifold Optimization for Frequency-Domain Blind Source Separation

Satoru Emura

ICASSP 2024accepted0 citations

Permutation-Alignment Method Using Manifold Optimization for Frequency-Domain Blind Source Separation

Abstract

This study proposes a permutation-alignment method for frequency-domain blind source separation. This method refines the results of Sawada’s permutation-alignment method using stricter objective function, relaxing the constraint of the permutation matrix by that of the doubly-stochastic matrix, and applying manifold optimization over it.

BibTeX

@inproceedings{icassp2024_permutationalign,
  title = {Permutation-Alignment Method Using Manifold Optimization for Frequency-Domain Blind Source Separation},
  author = {Satoru Emura},
  booktitle = {ICASSP 2024},
  year = {2024}
}