
Acoustic Analysis of Pathologies
From Infancy to Young Adulthood
De Gruyter (Publisher)
1st Edition
Published on 24. February 2020
Book
Hardback
X, 170 pages
978-3-11-064710-5 (ISBN)
Description
This series demonstrates how the latest advances in speech technology and text mining positively affect patient health care and public health writ large.Topics include: text mining of electronic health records; speech-enabled service robots in operating rooms and assistive robots in care facilities; signal and acoustic modeling of speech disorders resulting from Parkinson's disease, Autism Spectrum Disorder, cleft palate, intellectual disabilities, and neuro-motor impairments; clinical assessment of speechtechnology and natural language processing software for handling autism and aphasia; empirical studies of speech technologies for voice reconstruction and enhancement; computational bioacoustics for biodiversity assessment, pest population control, and monitoring the spread of disease transmitting insects.
More details
Series
Language
English
Place of publication
Berlin/Boston
Germany
Target group
Professional and scholarly
US School Grade: College Graduate Student
Illustrations
50 s/w Abbildungen
50 b/w ill.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
ISBN-13
978-3-11-064710-5 (9783110647105)
Schweitzer Classification
Persons
Amy Neustein, Fort Lee, NJ, USA.
Content
Chapter One: Infant Cry Analysis and its Classification Anshu Chittora and Hemant A. Patil Chapter Two: Infant Cry Recognition using Source, System, Prosody, and Epoch Features K. Sreenivasa Rao, Avinash Kumar Singh, Jayanta Mukhopadhyay, Siva Ayyappa Kumar B, Sunil Kumar S B and Ramu Reddy Vempada Chapter Three: Unsupervised Auditory Filterbank Learning for Infant Cry Classification Hardik B. Sailor and Hemant A. Patil Chapter Four: Acoustic and prosodic analysis of vocalizations of 18-month old toddlers with Autism Spectrum Disorder Stefany Bedoya, Nirit Brosh, Jessica Brian, Douglas O'Shaughnessy, Tiago H. Falk Chapter Five: Communication Improves When Human or Computer Listeners Adapt to Young Adult Dysarthria Heejin Kim, Mark Hasegawa-Johnson