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Downsampling schemes in a hierarchical neural network structure for phoneme recognition
Downsampling schemes in a hierarchical neural network structure for phoneme recognition
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机译:用于音素识别的分层神经网络结构中的下采样方案
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摘要
An approach for phoneme recognition is described. A sequence of intermediate output posterior vectors is generated from an input sequence of cepstral features using a first layer perceptron. The intermediate output posterior vectors are then downsampled to form a reduced input set of intermediate posterior vectors for a second layer perceptron. A sequence of final posterior vectors is generated from the reduced input set of intermediate posterior vectors using the second layer perceptron. Then the final posterior vectors are decoded to determine an output recognized phoneme sequence representative of the input sequence of cepstral features.
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