Cantitate/Preț
Produs
Total produse
Vezi coșul
Deep Learning Based Speech Quality Prediction de Gabriel Mittag

Deep Learning Based Speech Quality Prediction: T-Labs Series in Telecommunication Services

Autor Gabriel Mittag
en Limba Engleză Hardback – 25 feb 2022
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.
Citește tot Restrânge

Din seria T-Labs Series in Telecommunication Services

Preț: 61891 lei

Preț vechi: 72814 lei
-15%

Puncte Express: 928
Paperback 61339 lei
Hardback 61891 lei

Carte tipărită la comandă

Livrare economică 20 mai-03 iunie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783030914783
ISBN-10: 303091478X
Pagini: 180
Ilustrații: XIV, 165 p. 58 illus., 54 illus. in color.
Dimensiuni: 160 x 241 x 16 mm
Greutate: 0.44 kg
Ediția:1st ed. 2022
Editura: Springer
Colecția T-Labs Series in Telecommunication Services
Seria T-Labs Series in Telecommunication Services

Locul publicării:Cham, Switzerland

Cuprins

1. Introduction.- 2. Quality Assessment of Transmitted Speech.- 3. Neural Network Architectures for Speech Quality Prediction.- 4. Double-Ended Speech Quality Prediction Using Siamese Networks.- 5. Prediction of Speech Quality Dimensions With Multi-Task Learning.- 6. Bias-Aware Loss for Training From Multiple Datasets.- 7. NISQA – A Single-Ended Speech Quality Model.- 8. Conclusions.- A. Dataset Condition Tables.- B. Train and Validation Dataset Dimension Histograms.- References.

Notă biografică

Gabriel Mittag received his B.Sc. and M.Sc. degree in electrical and electronic engineering at the Technische Universität Berlin. During his master's degree he spent two semesters at the RMIT University in Melbourne, Australia and focused primarily on biomedical and speech signal processing. From 2016 he was employed as research assistant at the Quality and Usability Lab at the TU Berlin, where he finished his PhD on the machine learning based prediction of speech quality. In May 2021, Gabriel Mittag started as Machine Learning Scientist at Microsoft in Redmond, WA, USA.

Textul de pe ultima copertă

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.