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.
| Acknowledgments |
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v | |
| Computers hearing children's cries and pathologies -- a foreword |
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vii | |
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xiii | |
| Editors' introduction |
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xv | |
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1 Understanding infant cry analysis for pathology classification |
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1 | (62) |
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2 Unsupervised auditory filterbank learning for infant cry classification |
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63 | (30) |
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3 Acoustic and prosodic analysis of vocalizations of 18-month-old toddlers with autism spectrum disorder |
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93 | (34) |
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4 Computer-aided speech therapy for dysarthric speakers: Statistical acoustic modeling for automated verification of pronunciation accuracy |
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127 | (54) |
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5 Communication improves when human or computer listeners adapt to dysarthria |
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181 | (18) |
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6 Role of music on infant developments |
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199 | |
Amy Neustein, USA; Hemant Patil, DA-IICT, Gujarat, India.
