Automatic speech signal analysis for clinical diagnosis and assessment of speech disorders
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 v...
| Main Author: | Baghai-Ravary, Ladan. |
|---|---|
| Other Authors: | Beet, Steve., SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer,
©2013.
New York, NY : [2013] |
| Physical Description: |
1 online resource (viii, 70 pages) : illustrations. |
| Series: |
SpringerBriefs in electrical and computer engineering. Speech technology.
|
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |