Overview
- Explores different approaches to evaluation of speech disorders and the impact of recording and evaluation methodologies, as a guide to future research and development in this area
- Presents a survey showing the potential offered by different technologies and identifying the most promising approaches to the automatic monitoring of speech disorder
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)
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Table of contents (7 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders
Authors: Ladan Baghai-Ravary, Steve W. Beet
Series Title: SpringerBriefs in Speech Technology
DOI: https://doi.org/10.1007/978-1-4614-4574-6
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2013
Softcover ISBN: 978-1-4614-4573-9Published: 08 August 2012
eBook ISBN: 978-1-4614-4574-6Published: 09 August 2012
Series ISSN: 2191-737X
Series E-ISSN: 2191-7388
Edition Number: 1
Number of Pages: VIII, 70
Number of Illustrations: 9 b/w illustrations
Topics: Signal, Image and Speech Processing, Health Informatics, Health Informatics