Distributed max-SINR speech enhancement with ad hoc microphone arrays

Vincent M. Tavakoli; Jesper R. Jensen; Richard Heusdens; Jacob Benesty; Mads G. Christensen

doi:10.1109/ICASSP.2017.7952136

Distributed max-SINR speech enhancement with ad hoc microphone arrays

Vincent M. Tavakoli, Jesper R. Jensen, Richard Heusdens, Jacob Benesty, Mads G. Christensen

Signal Processing Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

13 Citations (Scopus)

Abstract

In recent years, signal processing with ad hoc microphone arrays has attracted a lot of attention. Speech enhancement in noisy, interfered, and reverberant environments is one of the problems targeted by ad hoc microphone arrays. Most of the proposed solutions require knowledge of fingerprints, such as acoustic transfer functions, which may not be known as accurately as required in practical situations. In this paper, a distributed signal subspace filtering method is proposed which is not restricted to a special graph topology. Here, the maximum signal to interference-plus-noise ratio (max-SINR) criterion is used with the primal-dual method of multipliers for distributed filtering. The paper investigates the convergence of the algorithm in both synchronous and asynchronous schemes, and also discusses some practical pros and cons. The applicability of the proposed method is demonstrated by means of simulation results.

Original language	English
Title of host publication	2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	151-155
Number of pages	5
ISBN (Electronic)	978-1-5090-4117-6
DOIs	https://doi.org/10.1109/ICASSP.2017.7952136
Publication status	Published - 2017
Event	ICASSP 2017: 42nd IEEE International Conference on Acoustics, Speech and Signal Processing - The Internet of Signals - Hilton New Orleans Riverside, New Orleans, LA, United States Duration: 5 Mar 2017 → 9 Mar 2017 Conference number: 42 http://www.ieee-icassp2017.org/

Conference

Conference	ICASSP 2017
Abbreviated title	ICASSP
Country/Territory	United States
City	New Orleans, LA
Period	5/03/17 → 9/03/17
Internet address	http://www.ieee-icassp2017.org/

Keywords

Speech enhancement
max-SINR
ad hoc microphone array
distributed filtering
primal-dual method of multipliers

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10.1109/ICASSP.2017.7952136

Cite this

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title = "Distributed max-SINR speech enhancement with ad hoc microphone arrays",

abstract = "In recent years, signal processing with ad hoc microphone arrays has attracted a lot of attention. Speech enhancement in noisy, interfered, and reverberant environments is one of the problems targeted by ad hoc microphone arrays. Most of the proposed solutions require knowledge of fingerprints, such as acoustic transfer functions, which may not be known as accurately as required in practical situations. In this paper, a distributed signal subspace filtering method is proposed which is not restricted to a special graph topology. Here, the maximum signal to interference-plus-noise ratio (max-SINR) criterion is used with the primal-dual method of multipliers for distributed filtering. The paper investigates the convergence of the algorithm in both synchronous and asynchronous schemes, and also discusses some practical pros and cons. The applicability of the proposed method is demonstrated by means of simulation results.",

keywords = "Speech enhancement, max-SINR, ad hoc microphone array, distributed filtering, primal-dual method of multipliers",

author = "Tavakoli, {Vincent M.} and Jensen, {Jesper R.} and Richard Heusdens and Jacob Benesty and Christensen, {Mads G.}",

year = "2017",

doi = "10.1109/ICASSP.2017.7952136",

language = "English",

pages = "151--155",

booktitle = "2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings",

publisher = "IEEE",

address = "United States",

note = "ICASSP 2017 : 42nd IEEE International Conference on Acoustics, Speech and Signal Processing - The Internet of Signals, ICASSP ; Conference date: 05-03-2017 Through 09-03-2017",

url = "http://www.ieee-icassp2017.org/",

}

Tavakoli, VM, Jensen, JR, Heusdens, R, Benesty, J & Christensen, MG 2017, Distributed max-SINR speech enhancement with ad hoc microphone arrays. in 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings. IEEE, Piscataway, NJ, pp. 151-155, ICASSP 2017, New Orleans, LA, United States, 5/03/17. https://doi.org/10.1109/ICASSP.2017.7952136

Distributed max-SINR speech enhancement with ad hoc microphone arrays. / Tavakoli, Vincent M.; Jensen, Jesper R.; Heusdens, Richard et al.
2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings. Piscataway, NJ: IEEE, 2017. p. 151-155.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Distributed max-SINR speech enhancement with ad hoc microphone arrays

AU - Tavakoli, Vincent M.

AU - Jensen, Jesper R.

AU - Heusdens, Richard

AU - Benesty, Jacob

AU - Christensen, Mads G.

N1 - Conference code: 42

PY - 2017

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N2 - In recent years, signal processing with ad hoc microphone arrays has attracted a lot of attention. Speech enhancement in noisy, interfered, and reverberant environments is one of the problems targeted by ad hoc microphone arrays. Most of the proposed solutions require knowledge of fingerprints, such as acoustic transfer functions, which may not be known as accurately as required in practical situations. In this paper, a distributed signal subspace filtering method is proposed which is not restricted to a special graph topology. Here, the maximum signal to interference-plus-noise ratio (max-SINR) criterion is used with the primal-dual method of multipliers for distributed filtering. The paper investigates the convergence of the algorithm in both synchronous and asynchronous schemes, and also discusses some practical pros and cons. The applicability of the proposed method is demonstrated by means of simulation results.

AB - In recent years, signal processing with ad hoc microphone arrays has attracted a lot of attention. Speech enhancement in noisy, interfered, and reverberant environments is one of the problems targeted by ad hoc microphone arrays. Most of the proposed solutions require knowledge of fingerprints, such as acoustic transfer functions, which may not be known as accurately as required in practical situations. In this paper, a distributed signal subspace filtering method is proposed which is not restricted to a special graph topology. Here, the maximum signal to interference-plus-noise ratio (max-SINR) criterion is used with the primal-dual method of multipliers for distributed filtering. The paper investigates the convergence of the algorithm in both synchronous and asynchronous schemes, and also discusses some practical pros and cons. The applicability of the proposed method is demonstrated by means of simulation results.

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KW - max-SINR

KW - ad hoc microphone array

KW - distributed filtering

KW - primal-dual method of multipliers

U2 - 10.1109/ICASSP.2017.7952136

DO - 10.1109/ICASSP.2017.7952136

M3 - Conference contribution

SP - 151

EP - 155

BT - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings

PB - IEEE

CY - Piscataway, NJ

T2 - ICASSP 2017

Y2 - 5 March 2017 through 9 March 2017

ER -

Distributed max-SINR speech enhancement with ad hoc microphone arrays

Abstract

Conference

Keywords

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