Time difference of arrival estimation exploiting multichannel spatio-temporal prediction

TY – JOUR

T1 – Time difference of arrival estimation exploiting multichannel spatio-temporal prediction

AU – He, Hongsen

AU – Wu, Lifu

AU – Lu, Jing

AU – Qiu, Xiaojun

AU – Chen, Jingdong

PY – 2013

Y1 – 2013

N2 – To localize sound sources in room acoustic environments, time differences of arrival (TDOA) between two or more microphone signals must be determined. This problem is often referred to as time delay estimation (TDE). The multichannel cross-correlation-coefficient (MCCC) algorithm, which is an extension of the traditional cross-correlation method from two-to multiple-channel cases, exploits spatial information among multiple microphones to improve the robustness of TDE. In this paper, we propose a multichannel spatio-temporal prediction (MCSTP) algorithm, which can be viewed as a generalization of the MCCC principle from using only spatial information to using both spatial and temporal information. A recursive version of this new algorithm is then developed, which can achieve similar performance as MCSTP, but is computationally more efficient. Experimental results in reverberant and noisy environments demonstrate the advantages of this new method for TDE.

AB – To localize sound sources in room acoustic environments, time differences of arrival (TDOA) between two or more microphone signals must be determined. This problem is often referred to as time delay estimation (TDE). The multichannel cross-correlation-coefficient (MCCC) algorithm, which is an extension of the traditional cross-correlation method from two-to multiple-channel cases, exploits spatial information among multiple microphones to improve the robustness of TDE. In this paper, we propose a multichannel spatio-temporal prediction (MCSTP) algorithm, which can be viewed as a generalization of the MCCC principle from using only spatial information to using both spatial and temporal information. A recursive version of this new algorithm is then developed, which can achieve similar performance as MCSTP, but is computationally more efficient. Experimental results in reverberant and noisy environments demonstrate the advantages of this new method for TDE.

KW – Microphone arrays

KW – multichannel recursive prediction

KW – multichannel spatio-temporal prediction (MCSTP)

KW – pre-whitening

KW – spatial prediction

KW – spatio-temporal prediction

KW – time delay estimation (TDE)

UR – www.scopus.com/inward/record.url?scp=84872171293&partnerID=8YFLogxK

U2 – 10.1109/TASL.2012.2223674

DO – 10.1109/TASL.2012.2223674

M3 – 文章

AN – SCOPUS:84872171293

SN – 1558-7916

VL – 21

SP – 463

EP – 475

JO – IEEE Transactions on Audio, Speech and Language Processing

JF – IEEE Transactions on Audio, Speech and Language Processing

IS – 3

M1 – 6327613

ER –