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Book Synopsis :
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
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Automatic Speech Signal Analysis for Clinical
Diagnosis and Assessment of Speech Disorders
(SpringerBriefs in Speech Technology)
Product details
ASIN : 1461445736
Publisher : Springer; 2013th edition (August 8, 2012)
Language : English
Paperback : 78 pages
ISBN-10 : 9781461445739
ISBN-13 : 978-1461445739
Item Weight : 1 pounds
Dimensions : 6.1 x 0.19 x 9.25 inches
Best Sellers Rank: #1,908,093 in Books (See Top 100 in Books)
#65 in Voice Recognition Software
#130 in Computer Hardware DSPs
#373 in Medical Informatics (Books)
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Description :
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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.
Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech
Disorders (SpringerBriefs in Speech Technology) by Ladan Baghai-Ravary |Steve W. Beet
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