Signal and Acoustic Modeling for Speech and Communication Disorders / / ed. by Hemant A. Patil, Amy Neustein, Manisha Kulshreshtha.

Signal and Acoustic Modeling for Speech and Communication Disorders demonstrates how speech signal processing and acoustic modeling can be instrumental in early detection and successful intervention with speech deficits resulting from Parkinson’s disease, Autism Spectrum disorder, cleft palate, inte...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus DeG Package 2019 Part 1
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HerausgeberIn:
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2018]
©2019
Year of Publication:2018
Language:English
Series:Speech Technology and Text Mining in Medicine and Health Care , 5
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Physical Description:1 online resource (XIV, 272 p.)
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Table of Contents:
  • Frontmatter
  • Foreword
  • Acknowledgments
  • Contents
  • List of Contributors
  • Introduction
  • Part I: Applying New Developments in Speech Signal Processing in the Diagnosis and Treatment of Speech and Communication Disorders and in the Detection of Risk to Neuro-Motor Functioning
  • 1. Advancements in whispered speech detection for interactive/speech systems
  • 2. Selective pole defocussing for detection of hypernasality
  • 3. Acoustic-based tools and scripts for the automatic analysis of speech in clinical and non-clinical settings
  • 4. Analysis of normal and pathological voices by novel chaotic titration method
  • Part II: Using Acoustic Modeling in the Detection and Treatment of Cognitive, Affective, and Developmental Disorders
  • 5. Speech disorders in children and adults with mild-to-moderate intellectual disability
  • 6. Autism and speech, language, and emotion – a survey
  • 7. Clinical applications of speech technology for Autism Spectrum Disorder
  • Part III: Assessing and Quantifying Speech Intelligibility in Patients with Congenital Anatomical Defects, Disabling Conditions, and Degenerative Diseases
  • 8. Automatic assessment of consonant omission and speech intelligibility in cleft palate speech
  • 9. Distinctive auditory-based cues and rhythm metrics to assess the severity level of dysarthria
  • 10. Quantification system of Parkinson’s disease