@conference{nikunenEUSIPCO2012,
author = "Joonas Nikunen and Tuomas Virtanen and Pasi Pertil{\"a} and Miikka Vilermo",
abstract = "This paper presents a novel method for solving the permuta-
tion ambiguity of frequency-domain independent component
analysis based on source signal envelope correlation maxi-
mization. The proposed method is developed for blind source
separation with high sampling frequency and significant spa-
tial aliasing. We propose a method that analyzes the source
envelope using a rank-one singular value decomposition
(SVD) applied to an initial source magnitude spectrogram
obtained by a time difference of arrival (TDoA) based per-
mutation alignment method. The permutation for frequencies
with incoherent TDoA are corrected by maximizing the cross-
correlation of the SVD analyzed source activation vector and
each independent component magnitude envelope. We evalu-
ate the separation quality using real high sampling frequency
speech captures and the proposed method is found to improve
the separation over the baseline algorithm.",
booktitle = "European Signal Processing Conference (EUSIPCO)",
keywords = "Blind Source Separation; Independent Component Analysis; Permutation Alignment",
organization = "EURASIP",
title = "{P}ermutation {A}lignment {O}f {F}requency-{D}omain {I}ca {B}y {T}he {M}aximization {O}f {I}ntra-{S}ource {E}nvelope {C}orrelations",
year = "2012",
}