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Mots-clés de l'auteur: automatic speech recognition ; deep neural network ; sparsity ; dictionary learning ; low-rank ; principal component analysis ; far-fiel
Deep Learning through Sparse and Low-Rank Modeling
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Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models-those that emphasize problem-specific Interpretab
Automatic Speech Recognition
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This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models includin
Dynamic Speech Models
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Speech dynamics refer to the temporal characteristics in all stages of the human speech communication process. This speech “chain” starts with the formation
Regularized and Sparse Models for Low Resource Speech Recognition
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