TY - GEN
T1 - Gradient flow source localization in noisy and reverberant environments
AU - Li, Shuo
AU - Stanacevic, Milutin
PY - 2012
Y1 - 2012
N2 - Gradient flow is a technique for localization of an acoustic source using miniature microphone arrays by relating temporal and spatial gradients of the impinging source signal. The performance of the gradient flow in noisy and reverberant environment is examined and quantified through simulations that incorporate additive measurement noise, directional interference signal and room acoustic model. The algorithm demonstrates robust performance for additive signal-to-noise ratio down to 5 dB and at the signal-to-interference ratio of 10 dB. In the echoic room, localization performance starts to deteriorate under moderate reverberation conditions. The experimental results from a miniature microphone array recordings in a conference-room environment verify the presented simulations.
AB - Gradient flow is a technique for localization of an acoustic source using miniature microphone arrays by relating temporal and spatial gradients of the impinging source signal. The performance of the gradient flow in noisy and reverberant environment is examined and quantified through simulations that incorporate additive measurement noise, directional interference signal and room acoustic model. The algorithm demonstrates robust performance for additive signal-to-noise ratio down to 5 dB and at the signal-to-interference ratio of 10 dB. In the echoic room, localization performance starts to deteriorate under moderate reverberation conditions. The experimental results from a miniature microphone array recordings in a conference-room environment verify the presented simulations.
UR - https://www.scopus.com/pages/publications/84876263186
U2 - 10.1109/ACSSC.2012.6489001
DO - 10.1109/ACSSC.2012.6489001
M3 - Conference contribution
AN - SCOPUS:84876263186
SN - 9781467350518
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 257
EP - 260
BT - Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012
T2 - 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012
Y2 - 4 November 2012 through 7 November 2012
ER -