Deep Learning Based Speech Quality Prediction

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Éditeur :

Springer


Collection :

T-Labs Series in Telecommunication Services

Paru le : 2022-02-24

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Description
This book presents how to apply recent machine learning (deep learning) methods for the task of speech quality prediction. The author shows how recent advancements in machine learning can be leveraged for the task of speech quality prediction and provides an in-depth analysis of the suitability of different deep learning architectures for this task. The author then shows how the resulting model outperforms traditional speech quality models and provides additional information about the cause of a quality impairment through the prediction of the speech quality dimensions of noisiness, coloration, discontinuity, and loudness.
Pages
165 pages
Collection
T-Labs Series in Telecommunication Services
Parution
2022-02-24
Marque
Springer
EAN papier
9783030914783
EAN PDF
9783030914790

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
7608 Ko
Prix
94,94 €
EAN EPUB
9783030914790

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
15012 Ko
Prix
94,94 €