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Combining Deep Embeddings Of Acoustic And Articulatory Features For Speaker Identification

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IEEE ICASSP 2020 Virtual Conference May 2020

In this study, deep embedding of acoustic and articulatory features are combined for speaker identification. First, a convolutional neural network (CNN)-based universal background model (UBM) is constructed to generate acoustic feature (AC) embedding. In

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Combining Deep Embeddings Of Acoustic And Articulatory Features For Speaker Identification

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In this study, deep embedding of acoustic and articulatory features are combined for speaker identification. First, a convolutional neural network (CNN)-based universal background model (UBM) is constructed to generate acoustic feature (AC) embedding. In