Speech Coding

with Code-Excited Linear Prediction

Автор: Tom Bäckström

Език:

Корици: С твърди корици

Издател: Springer International Publishing AG

Наличност: Външен склад

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This book provides scientific understanding of the most central techniques used in speech coding bot...

Информация за книгата

Автор

Tom Bäckström

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2017

страници

240

EAN

9783319502021

ISBN

3319502026

Enbook ID

15359015

Издател

Springer International Publishing AG

Теглоt

5207

Размери

155 x 235 x 17

Пълно описание

This book provides scientific understanding of the most central techniques used in speech coding both for advanced students as well as professionals with a background in speech audio and or digital signal processing. It provides a clear connection between the Why's?, How's?, and What's, such that the necessity, purpose and solutions provided by tools should be always within sight, as well as their strengths and weaknesses in each respect. Equivalently, this book sheds light on the following perspectives for each technology presented: Objective: What do we want to achieve and especially why is this goal important? Resource / Information: What information is available and how can it be useful? Resource / Platform: What kind of platforms are we working with and what are the capabilities/restrictions of those platforms? This includes properties such as computational, memory, acoustic and transmission capacity of devices used. Solutions: Which solutions have been proposed and how can they be used to reach the stated goals? Strengths and weaknesses: In which ways do the solutions fulfill the objectives and where are they insufficient? Are resources used efficiently? This book concentrates solely on code excited linear prediction and its derivatives since mainstream speech codecs are based on linear prediction It also concentrates exclusively on time domain techniques because frequency domain tools are to a large extent common with audio codecs.

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Speech Coding

with Code-Excited Linear Prediction

Информация за книгата

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