Detection and Estimation of Arrivals in Room Impulse Responses by Greedy Sparse Approximation

Bob L. Sturm, Guillaume Defrance

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

3 Citationer (Scopus)
106 Downloads (Pure)

Resumé

We investigate the use of greedy sparse approximation
for facilitating the time-domain analysis of room impulse responses (RIRs),
specifically locating the times and amplitudes of arrivals
to not long after the upper bound of the ``mixing time,''
i.e., the time after which there exists in theory the same number of
sound rays per unit volume throughout the room.
We compare the performance of two methods of greedy sparse approximation ---
matching pursuit (MP) and orthogonal MP (OMP) ---
for estimating arrival times and amplitudes.
By using RIRs generated from a stochastic model,
we quantify the performance of each estimator
using dynamic time warping to optimally
pair estimated and true arrivals.
We find OMP significantly outperforms MP
in estimating both the arrival times and amplitudes,
and having fewer erroneous and duplicated arrivals.
OriginalsprogEngelsk
TidsskriftProceedings of the European Signal Processing Conference
Sider (fra-til)1934-1938
Antal sider5
ISSN2076-1465
StatusUdgivet - 2010
BegivenhedEUSIPCO 2010 - Aalborg, Danmark
Varighed: 23 aug. 2010 → …

Konference

KonferenceEUSIPCO 2010
LandDanmark
ByAalborg
Periode23/08/2010 → …

Fingerprint

Impulse response
Time domain analysis
Stochastic models

Citer dette

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title = "Detection and Estimation of Arrivals in Room Impulse Responses by Greedy Sparse Approximation",
abstract = "We investigate the use of greedy sparse approximationfor facilitating the time-domain analysis of room impulse responses (RIRs),specifically locating the times and amplitudes of arrivalsto not long after the upper bound of the ``mixing time,'' i.e., the time after which there exists in theory the same number ofsound rays per unit volume throughout the room.We compare the performance of two methods of greedy sparse approximation ---matching pursuit (MP) and orthogonal MP (OMP) ---for estimating arrival times and amplitudes.By using RIRs generated from a stochastic model,we quantify the performance of each estimatorusing dynamic time warping to optimallypair estimated and true arrivals.We find OMP significantly outperforms MPin estimating both the arrival times and amplitudes,and having fewer erroneous and duplicated arrivals.",
author = "Sturm, {Bob L.} and Guillaume Defrance",
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Detection and Estimation of Arrivals in Room Impulse Responses by Greedy Sparse Approximation. / Sturm, Bob L.; Defrance, Guillaume.

I: Proceedings of the European Signal Processing Conference, 2010, s. 1934-1938.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

TY - GEN

T1 - Detection and Estimation of Arrivals in Room Impulse Responses by Greedy Sparse Approximation

AU - Sturm, Bob L.

AU - Defrance, Guillaume

PY - 2010

Y1 - 2010

N2 - We investigate the use of greedy sparse approximationfor facilitating the time-domain analysis of room impulse responses (RIRs),specifically locating the times and amplitudes of arrivalsto not long after the upper bound of the ``mixing time,'' i.e., the time after which there exists in theory the same number ofsound rays per unit volume throughout the room.We compare the performance of two methods of greedy sparse approximation ---matching pursuit (MP) and orthogonal MP (OMP) ---for estimating arrival times and amplitudes.By using RIRs generated from a stochastic model,we quantify the performance of each estimatorusing dynamic time warping to optimallypair estimated and true arrivals.We find OMP significantly outperforms MPin estimating both the arrival times and amplitudes,and having fewer erroneous and duplicated arrivals.

AB - We investigate the use of greedy sparse approximationfor facilitating the time-domain analysis of room impulse responses (RIRs),specifically locating the times and amplitudes of arrivalsto not long after the upper bound of the ``mixing time,'' i.e., the time after which there exists in theory the same number ofsound rays per unit volume throughout the room.We compare the performance of two methods of greedy sparse approximation ---matching pursuit (MP) and orthogonal MP (OMP) ---for estimating arrival times and amplitudes.By using RIRs generated from a stochastic model,we quantify the performance of each estimatorusing dynamic time warping to optimallypair estimated and true arrivals.We find OMP significantly outperforms MPin estimating both the arrival times and amplitudes,and having fewer erroneous and duplicated arrivals.

M3 - Conference article in Journal

SP - 1934

EP - 1938

JO - Proceedings of the European Signal Processing Conference

JF - Proceedings of the European Signal Processing Conference

SN - 2076-1465

ER -