|
Showing 1 - 2 of
2 matches in All Departments
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.
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.
|
You may like...
Higher
Michael Buble
CD
(1)
R487
Discovery Miles 4 870
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.