Skip to main content
. 2022 Jan 28;22(3):1011. doi: 10.3390/s22031011
ADMM Alternative direction method of multipliers
AHB Acoustical holography beamforming
AOA Angle of arrival
BNP Bayesian nonparametric
CC Cross-correlation
CMA Circular microphone array
DMA Distributed microphone array
DNN Deep neural networks
DOA Direction of arrival
F-CRNN Full-band recurrent neural networks
FIR Finite impulse response
GCC Generalized cross-correlation
GCC-PHAT Generalized cross-correlation-phase transform
GCC-PHAT/ML Generalized cross-correlation-phase transform/maximum likelihood
GEVD Generalized eigenvalue decomposition
IFT Inverse Fourier transform
IGMM Infinite Gaussian mixture model
LMS Least mean square
LTI Linear time-invariant
MAEE Mean absolute estimation error
ML Maximum likelihood
MSE Mean square error
MUSIC Multiple signal classification
PDF Power density function
PHAT Phase transform
RIR Room impulse response
RT60 Reverberation time
SD Standard deviation
SF-MCA Sound field morphological component analysis
SH Spherical harmonic
SHC Spherical harmonic domain
SH-TMSBL Temporal extension of multiple response model of sparse Bayesian learning with spherical harmonic
SMIPL Speech, music, and image processing laboratory
SNR Signal-to-noise ratio
SRP Steered response power
SRPD Steered response power density
SRP-PHAT Steered response power-phase transform
SSL Sound source localization
TCDMA-AGGPM T-shaped circular distributed microphone array-adaptive generalized eigenvalue decomposition, generalized cross-correlation-phase transform/maximum likelihood
TDOA Time difference of arrival
TF Time-frequency
TIMIT Texas Instruments and Massachusetts Institute of Technology
UTEM Universidad Tecnológica Metropolitana
VAD Voice activity detection
W-DO Windowed-disjoint orthogonality
WGN White gaussian noise
WM Mixture weight