Sparse and Low-rank Modeling for Automatic Speech Recognition

Sparse and Low-rank Modeling for Automatic Speech Recognition
Author: Pranay Dighe
Publisher:
Total Pages: 133
Release: 2019
Genre:
ISBN:

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Mots-clés de l'auteur: automatic speech recognition ; deep neural network ; sparsity ; dictionary learning ; low-rank ; principal component analysis ; far-field speech ; information theory.


Sparse and Low-rank Modeling for Automatic Speech Recognition
Language: en
Pages: 133
Authors: Pranay Dighe
Categories:
Type: BOOK - Published: 2019 - Publisher:

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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
Language: en
Pages: 298
Authors: Zhangyang Wang
Categories: Computers
Type: BOOK - Published: 2019-04-11 - Publisher: Academic Press

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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 Interpret
Automatic Speech Recognition
Language: en
Pages: 329
Authors: Dong Yu
Categories: Technology & Engineering
Type: BOOK - Published: 2014-11-11 - Publisher: Springer

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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
Regularized and Sparse Models for Low Resource Speech Recognition
Language: en
Pages: 125
Authors: Weibin Zhang
Categories: Automatic speech recognition
Type: BOOK - Published: 2013 - Publisher:

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Dynamic Speech Models
Language: en
Pages: 118
Authors: Li Deng
Categories: Technology & Engineering
Type: BOOK - Published: 2006-12-01 - Publisher: Morgan & Claypool Publishers

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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