Articulatory information and Multiview Features for Large Vocabulary Continuous Speech Recognition

ICASSP, pp. 5634-5638, 2018.

Cited by: 6|Bibtex|Views24|Links
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Abstract:

This paper explores the use of multi-view features and their discriminative transforms in a convolutional deep neural network (CNN) architecture for a continuous large vocabulary speech recognition task. Mel-filterbank energies and perceptually motivated forced damped oscillator coefficient (DOC) features are used after feature-space maxi...More

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