Research Article

Practically Efficient Blind Speech Separation Using Frequency Band Selection Based on Magnitude Squared Coherence and a Small Dodecahedral Microphone Array

Table 3

Estimated computational complexity.

Method Complexity
(conventional)
Complexity
(proposed)
Ratio
(reduction (%))
Complexity
(TRINICON)
Ratio
(reduction (%))

STFT (forward and inverse) 1.0 (0 [%]) 4.8
Covariance matrix 0.4 (60 [%]) 25.6
Eigenvalue decomposition 0.4 (60 [%]) 10.3
Subspace method 0.4 (60 [%]) 53.5
Separation matrix 0.4 (60 [%]) 156.6
Projection method 0.4 (60 [%]) 10.3
Hierarchical clustering 0.16 (84 [%]) ā€”ā€”

Total 0.16 (84 [%]) 0.80 (20 [%])