EURASIP Journal on Audio, Speech, and Music Processing

Table 7 Comparison of results of artificial data with different compensation parameter sets and combination methods for speaker identification

From: Distant-talking speaker identification by generalized spectral subtraction-based dereverberation and its efficient computation

	Number of impulse response
	condition for test (%)					Average (%)
	4	5	6	7	8	Average (%)
Parameters (n, α)
(0.1, 0.1)	95.2	90.2	87.2	90.5	92.6	91.1
(0.3, 0.3)	96.2	89.9	89.6	87.8	89.9	90.7
(0.5, 0.5)	96.2	91.1	91.4	90.1	92.3	92.2
(0.7, 0.7)	95.0	90.3	91.4	90.8	92.5	92.0
(1.0, 1.0)	94.0	90.6	91.0	90.5	92.3	91.7
(0.1, 0.2)	94.6	88.9	88.0	86.0	90.4	89.6
(0.3, 0.6)	95.8	89.9	89.8	88.8	91.3	91.1
(0.5, 1.0)	95.3	91.0	91.0	90.5	93.1	92.2
(0.7, 1.4)	94.5	90.9	91.7	90.6	92.9	92.1
(1.0, 2.0)	93.8	89.8	90.9	90.3	92.0	91.3
Conventional
combination	96.2	92.5	92.6	92.5	94.1	93.6
Efficient
combination	96.2	92.5	92.6	92.5	94.1	93.6
(N=5)

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