Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders (Record no. 56451)

000 -LEADER
fixed length control field 03152nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-1-4614-4574-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112038.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120807s2013 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781461445746
-- 978-1-4614-4574-6
082 04 - CLASSIFICATION NUMBER
Call Number 621.382
100 1# - AUTHOR NAME
Author Baghai-Ravary, Ladan.
245 10 - TITLE STATEMENT
Title Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders
300 ## - PHYSICAL DESCRIPTION
Number of Pages VIII, 70 p. 9 illus.
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Electrical and Computer Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Speech Production and Perception -- Acoustic Effects of Speech Impairment -- Technology and Implementation -- Established Methods -- Novel Approaches -- The Future.
520 ## - SUMMARY, ETC.
Summary, etc Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders provides a survey of methods designed to aid clinicians in the diagnosis and monitoring of speech disorders such as dysarthria and dyspraxia, with an emphasis on the signal processing techniques, statistical validity of the results presented in the literature, and the appropriateness of methods that do not require specialized equipment, rigorously controlled recording procedures or highly skilled personnel to interpret results. Such techniques offer the promise of a simple and cost-effective, yet objective, assessment of a range of medical conditions, which would be of great value to clinicians. The ideal scenario would begin with the collection of examples of the clients' speech, either over the phone or using portable recording devices operated by non-specialist nursing staff. The recordings could then be analyzed initially to aid diagnosis of conditions, and subsequently to monitor the clients' progress and response to treatment. The automation of this process would allow more frequent and regular assessments to be performed, as well as providing greater objectivity.
700 1# - AUTHOR 2
Author 2 Beet, Steve W.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-4574-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2013.
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-- text
-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Health informatics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Image and Speech Processing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Health Informatics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Health Informatics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2191-8112
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-- ZDB-2-ENG

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