A hybrid algorithm for blind source separation of a convolutive mixture of three speech sourcesCitation formats

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A hybrid algorithm for blind source separation of a convolutive mixture of three speech sources. / Minhas, S; Gaydecki, P.

In: Eurasip Journal on Advances in Signal Processing, 17.06.2014.

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Minhas, S ; Gaydecki, P. / A hybrid algorithm for blind source separation of a convolutive mixture of three speech sources. In: Eurasip Journal on Advances in Signal Processing. 2014.

Bibtex

@article{06a46c38bae542fba37b4fb46d77ad75,
title = "A hybrid algorithm for blind source separation of a convolutive mixture of three speech sources",
abstract = "In this paper we present a novel hybrid algorithm for blind source separation of three speech signals in a real room environment. The algorithm in addition to using second-order statistics also exploits an information-theoretic approach, based on higher order statistics, to achieve source separation and is well suited for real-time implementation due to its fast adaptive methodology. It does not require any prior information or parameter estimation. The algorithm also uses a novel post-separation speech harmonic alignment that results in an improved performance. Experimental results in simulated and real environments verify the effectiveness of the proposed method, and analysis demonstrates that the algorithm is computationally efficient.",
keywords = "Blind source separation; Convolutive BSS; Second-order statistics; Pitch detection",
author = "S Minhas and P Gaydecki",
year = "2014",
month = jun,
day = "17",
doi = "10.1186/1687-6180-2014-92",
language = "English",
journal = "Eurasip Journal on Advances in Signal Processing",
issn = "1687-6172",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - A hybrid algorithm for blind source separation of a convolutive mixture of three speech sources

AU - Minhas, S

AU - Gaydecki, P

PY - 2014/6/17

Y1 - 2014/6/17

N2 - In this paper we present a novel hybrid algorithm for blind source separation of three speech signals in a real room environment. The algorithm in addition to using second-order statistics also exploits an information-theoretic approach, based on higher order statistics, to achieve source separation and is well suited for real-time implementation due to its fast adaptive methodology. It does not require any prior information or parameter estimation. The algorithm also uses a novel post-separation speech harmonic alignment that results in an improved performance. Experimental results in simulated and real environments verify the effectiveness of the proposed method, and analysis demonstrates that the algorithm is computationally efficient.

AB - In this paper we present a novel hybrid algorithm for blind source separation of three speech signals in a real room environment. The algorithm in addition to using second-order statistics also exploits an information-theoretic approach, based on higher order statistics, to achieve source separation and is well suited for real-time implementation due to its fast adaptive methodology. It does not require any prior information or parameter estimation. The algorithm also uses a novel post-separation speech harmonic alignment that results in an improved performance. Experimental results in simulated and real environments verify the effectiveness of the proposed method, and analysis demonstrates that the algorithm is computationally efficient.

KW - Blind source separation; Convolutive BSS; Second-order statistics; Pitch detection

U2 - 10.1186/1687-6180-2014-92

DO - 10.1186/1687-6180-2014-92

M3 - Article

JO - Eurasip Journal on Advances in Signal Processing

JF - Eurasip Journal on Advances in Signal Processing

SN - 1687-6172

M1 - 92

ER -