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Springer Deep Learning Based Speech Quality Prediction Book

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Description

Explore the application of deep learning methods for speech quality prediction in this technical volume from the T-Labs Series in Telecommunication Services. Published by Springer, this book examines how recent machine learning advancements can be used to improve speech quality assessment. The text provides an in-depth analysis of various deep learning architectures and their suitability for this specific task. Readers will learn how these modern models outperform traditional speech quality models. Beyond simple prediction, the book explains how to identify the causes of quality impairments by predicting specific speech quality dimensions, such as noisiness and coloration.

Key Features

This Springer publication explores how to apply recent machine learning and deep learning methods to speech quality prediction tasks.

The text provides an in-depth analysis regarding the suitability of different deep learning architectures for telecommunication services.

Learn how resulting deep learning models outperform traditional speech quality models through advanced machine learning techniques.

Gain information about the causes of quality impairment by predicting speech quality dimensions like noisiness and coloration.

Part of the T-Labs Series in Telecommunication Services, this book is designed for technical study of speech technology.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
26 February 2023
Listed Since
30 January 2023

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