@inbook{29c8a1a356a34ef5b37cf0402689ac6e,
title = "Frequency domain blind source separation for many speech signals",
abstract = "This paper presents a method for solving the permutation problem of frequency domain blind source separation (BSS) when the number of source signals is large, and the potential source locations are omnidirectional. We propose a combination of small and large spacing sensor pairs with various axis directions in order to obtain proper geometric information for solving the permutation problem. Experimental results in a room (reverberation time TR=130 ms) with eight microphones show that the proposed method can separate a mixture of six speech signals that come from various directions, even when two of them come from the same direction.",
author = "Ryo Mukai and Hiroshi Sawada and Shoko Araki and Shoji Makino",
year = "2004",
doi = "10.1007/978-3-540-30110-3_59",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "461--469",
editor = "Puntonet, {Carlos G.} and Alberto Prieto",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}