Greedy alternative for room geometry estimation from acoustic echoes: a subspace-based method

Mario Coutino; Martin Bo Møller; Jesper Kjær Nielsen; Richard Heusdens

doi:10.1109/ICASSP.2017.7952179

Greedy alternative for room geometry estimation from acoustic echoes: a subspace-based method

Mario Coutino, Martin Bo Møller, Jesper Kjær Nielsen, Richard Heusdens

Signal Processing Systems

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

8 Citations (Scopus)

Abstract

In this paper, we present a greedy subspace method for the acoustic echoes labeling problem, which occurs in applications such as source localization and room geometry estimation. The orthogonal projection into the null space of the microphones position matrix is used to filter and sort all possible combinations of echoes. A greedy strategy, based on the rank constraint of Euclidean distance matrices (EDMs), is used on the sorted subset of echo combinations to extract the feasible combinations. Numerical simulations using room impulse responses (RIRs) from shoe-box shaped rooms show that the method provides improvements in terms of computational complexity and the number of required measurements with respect to a recently published graph-based method.

Original language	English
Title of host publication	2017 International Conference on Acoustics, Speech, and Signal Processing - Proceedings
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	366-370
Number of pages	5
ISBN (Electronic)	978-1-5090-4117-6
DOIs	https://doi.org/10.1109/ICASSP.2017.7952179
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

acoustic echoes
room geometry
sorting reflections
greedy algorithm
source localization

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10.1109/ICASSP.2017.7952179

Cite this

@inproceedings{460e30a5f2284d15b4cab8d458f60720,

title = "Greedy alternative for room geometry estimation from acoustic echoes: a subspace-based method",

abstract = "In this paper, we present a greedy subspace method for the acoustic echoes labeling problem, which occurs in applications such as source localization and room geometry estimation. The orthogonal projection into the null space of the microphones position matrix is used to filter and sort all possible combinations of echoes. A greedy strategy, based on the rank constraint of Euclidean distance matrices (EDMs), is used on the sorted subset of echo combinations to extract the feasible combinations. Numerical simulations using room impulse responses (RIRs) from shoe-box shaped rooms show that the method provides improvements in terms of computational complexity and the number of required measurements with respect to a recently published graph-based method.",

keywords = "acoustic echoes, room geometry, sorting reflections, greedy algorithm, source localization",

author = "Mario Coutino and M{\o}ller, {Martin Bo} and Nielsen, {Jesper Kj{\ae}r} and Richard Heusdens",

year = "2017",

doi = "10.1109/ICASSP.2017.7952179",

language = "English",

pages = "366--370",

booktitle = "2017 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/",

}

Coutino, M, Møller, MB, Nielsen, JK & Heusdens, R 2017, Greedy alternative for room geometry estimation from acoustic echoes: a subspace-based method. in 2017 International Conference on Acoustics, Speech, and Signal Processing - Proceedings. IEEE , Piscataway, NJ, pp. 366-370, ICASSP 2017, New Orleans, LA, United States, 5/03/17. https://doi.org/10.1109/ICASSP.2017.7952179

Greedy alternative for room geometry estimation from acoustic echoes: a subspace-based method. / Coutino, Mario; Møller, Martin Bo; Nielsen, Jesper Kjær; Heusdens, Richard.

2017 International Conference on Acoustics, Speech, and Signal Processing - Proceedings. Piscataway, NJ : IEEE , 2017. p. 366-370.

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

TY - GEN

T1 - Greedy alternative for room geometry estimation from acoustic echoes: a subspace-based method

AU - Coutino, Mario

AU - Møller, Martin Bo

AU - Nielsen, Jesper Kjær

AU - Heusdens, Richard

N1 - Conference code: 42

PY - 2017

Y1 - 2017

N2 - In this paper, we present a greedy subspace method for the acoustic echoes labeling problem, which occurs in applications such as source localization and room geometry estimation. The orthogonal projection into the null space of the microphones position matrix is used to filter and sort all possible combinations of echoes. A greedy strategy, based on the rank constraint of Euclidean distance matrices (EDMs), is used on the sorted subset of echo combinations to extract the feasible combinations. Numerical simulations using room impulse responses (RIRs) from shoe-box shaped rooms show that the method provides improvements in terms of computational complexity and the number of required measurements with respect to a recently published graph-based method.

AB - In this paper, we present a greedy subspace method for the acoustic echoes labeling problem, which occurs in applications such as source localization and room geometry estimation. The orthogonal projection into the null space of the microphones position matrix is used to filter and sort all possible combinations of echoes. A greedy strategy, based on the rank constraint of Euclidean distance matrices (EDMs), is used on the sorted subset of echo combinations to extract the feasible combinations. Numerical simulations using room impulse responses (RIRs) from shoe-box shaped rooms show that the method provides improvements in terms of computational complexity and the number of required measurements with respect to a recently published graph-based method.

KW - acoustic echoes

KW - room geometry

KW - sorting reflections

KW - greedy algorithm

KW - source localization

U2 - 10.1109/ICASSP.2017.7952179

DO - 10.1109/ICASSP.2017.7952179

M3 - Conference contribution

SP - 366

EP - 370

BT - 2017 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 -

Greedy alternative for room geometry estimation from acoustic echoes: a subspace-based method

Abstract

Conference

Keywords

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