Normal View MARC View ISBD View

Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders

by Baghai-Ravary, Ladan.
Authors: Beet, Steve W.%author. | SpringerLink (Online service) Series: SpringerBriefs in Electrical and Computer Engineering, 2191-8112 Physical details: VIII, 70 p. 9 illus. online resource. ISBN: 1461445744 Subject(s): Engineering. | Medical records %Data processing. | Engineering. | Signal, Image and Speech Processing. | Health Informatics. | Health Informatics.
Tags from this library:
No tags from this library for this title.
Item type Location Call Number Status Date Due
E-Book E-Book AUM Main Library 621.382 (Browse Shelf) Not for loan

Introduction -- Speech Production and Perception -- Acoustic Effects of Speech Impairment -- Technology and Implementation -- Established Methods -- Novel Approaches -- The Future.

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.

There are no comments for this item.

Log in to your account to post a comment.