EURASIP Journal on Audio, Speech, and Music Processing

Table 11 Recognition rates of DAE with different sized contexts for the training data (%)

From: Deep neural network-based bottleneck feature and denoising autoencoder-based dereverberation for distant-talking speaker identification

Method	Context size	CENSREC-4 database			Ave.
		0.40	0.60	0.75
DAE	9 (c1+p8)	94.30	90.85	93.80	92.98
DAE	9 (c1+p4+l4)	93.40	89.60	93.15	92.05
DAE	9 (c1+l8)	93.50	89.65	92.75	91.07

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