Description: Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Ladan Baghai-Ravary, Steve W. Beet Format: Paperback Language: English Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781461445739, 978-1461445739 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 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.
Price: 38.02 GBP
Location: Aldershot
End Time: 2024-11-22T12:40:29.000Z
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Book Title: Automatic Speech Signal Analysis for Clinical Diagnosis and As...
Number of Pages: 70 Pages
Language: English
Publication Name: Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders
Publisher: Springer-Verlag New York Inc.
Publication Year: 2012
Subject: Medicine, Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 141 g
Type: Textbook
Author: Steve W. Beet, Ladan Baghai-Ravary
Subject Area: Health Education
Series: Springerbriefs in Speech Technology
Item Width: 155 mm
Format: Paperback
