Acoustic Analysis of Pathologies : : From Infancy to Young Adulthood / / ed. by Amy Neustein, Hemant A. Patil.

• Superior document: Title is part of eBook package: De Gruyter DG Ebook Package English 2020
• MitwirkendeR: Bedoya, Stefany,; Brian, Jessica,; Brosh Katz, Nirit,; Chittora, Anshu,; Falk, Tiago H.,; Hasegawa-Johnson, Mark,; Kim, Heejin,; O’Shaughnessy, Douglas,; Patil, Hemant A.,; Rose, Richard,; Sailor, Hardik B.,; Sunil Phatnani, Kirtana,; Yin, Shou-Chun,
• HerausgeberIn: Neustein, Amy,; Patil, Hemant A.,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2020]; ©2020
• Year of Publication: 2020
• Language: English
• Series: Speech Technology and Text Mining in Medicine and Health Care , 7
• Physical Description: 1 online resource (XVII, 220 p.)
• Other title: Frontmatter --; Acknowledgments --; Computers hearing children’s cries and pathologies – a foreword --; Contents --; List of contributors --; Editors’ introduction --; 1. Understanding infant cry analysis for pathology classification --; 2. Unsupervised auditory filterbank learning for infant cry classification --; 3. Acoustic and prosodic analysis of vocalizations of 18-month-old toddlers with autism spectrum disorder --; 4. Computer-aided speech therapy for dysarthric speakers: Statistical acoustic modeling for automated verification of pronunciation accuracy --; 5. Communication improves when human or computer listeners adapt to dysarthria --; 6. Role of music on infant developments
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781501513138; 9783110696288; 9783110696271; 9783110659061; 9783110704716; 9783110704518; 9783110704815; 9783110704617
• ISSN: 2329-5198
• DOI: 10.1515/9781501513138
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: ed. by Amy Neustein, Hemant A. Patil.

This book provides the reader with empirical findings on innovative signal processing approaches to detecting pathologies in infant cries, by comparing new technological approaches to standard ones. The contributors examine novel approaches to machine adaptation to dysarthric speech.