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EURASIP Journal on Audio, Speech, and Music Processing
Figure 3 | EURASIP Journal on Audio, Speech, and Music Processing

Figure 3

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

Figure 3

Flowchart of bottleneck feature extraction. In the training stage for a bottleneck DNN, the input of the DNN was a frame, or multi frames, of reverberant speech. The teacher signal was the true speaker labels. For a trained DNN, giving a frame or multiframes of reverberant speech, we took the bottleneck layer as the output feature.

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