Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/79797
Title: Underdetermined convolutive blind source separation via time-frequency masking
Authors: Reju, Vaninirappuputhenpurayil Gopalan
Koh, Soo Ngee
Soon, Ing Yann
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Issue Date: 2009
Source: Reju, V. G., Koh, S. N., & Soon, I. Y. (2010). Underdetermined Convolutive Blind Source Separation via Time-Frequency Masking. IEEE Transactions on Audio, Speech, and Language Processing, 18(1), 101-116.
Series/Report no.: IEEE transactions on audio, speech, and language processing
Abstract: In this paper, we consider the problem of separation of unknown number of sources from their underdetermined convolutive mixtures via time-frequency (TF) masking. We propose two algorithms, one for the estimation of the masks which are to be applied to the mixture in the TF domain for the separation of signals in the frequency domain, and the other for solving the permutation problem. The algorithm for mask estimation is based on the concept of angles in complex vector space. Unlike the previously reported methods, the algorithm does not require any estimation of the mixing matrix or the source positions for mask estimation. The algorithm clusters the mixture samples in the TF domain based on the Hermitian angle between the sample vector and a reference vector using the well known k -means or fuzzy c -means clustering algorithms. The membership functions so obtained from the clustering algorithms are directly used as the masks. The algorithm for solving the permutation problem clusters the estimated masks by using k-means clustering of small groups of nearby masks with overlap. The effectiveness of the algorithm in separating the sources, including collinear sources, from their underdetermined convolutive mixtures obtained in a real room environment, is demonstrated.
URI: https://hdl.handle.net/10356/79797
http://hdl.handle.net/10220/7004
ISSN: 1558-7916
DOI: 10.1109/TASL.2009.2024380
Schools: School of Electrical and Electronic Engineering 
Rights: © 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [DOI: http://dx.doi.org/10.1109/TASL.2009.2024380].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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