Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Part of: Synthesis digital library of engineering and computer science.

Includes bibliographical references (pages 71-85).

1. Introduction --

Part I. Background -- 2. Math & stats for language technology -- 2.1 Probability theory -- 2.1.1 Multiple events -- 2.2 Information theory -- 2.2.1 Entropy -- 3. (Computational) linguistics -- 3.1 Word prediction -- 4. Automatic speech recognition (ASR) -- 4.0.1 Feature extraction -- 4.0.2 Linear predictive coding (LPC) -- 4.0.3 Hidden Markov models (HMMs) -- 5. Speech synthesis -- 5.1 Speech transformation -- 5.1.1 Concatenative and articulatory synthesis -- 5.1.2 Dynamic models of articulation -- 5.1.3 The Klatt synthesizer -- 5.1.4 Measuring intelligibility -- 5.1.5 Acoustic transformation --

Part II. Neurology, anatomy, and a few typical disorders -- 6. Physical and cognitive foundations of speech -- 6.1 The neural origins of speech production -- 6.2 The muscles of speech -- 7. Dementia and aphasia -- 7.0.1 Language use in dementia and Alzheimer's disease -- 7.0.2 Communication difficulties -- 8. Dysarthria -- 8.1 Presentation and assessment -- 8.1.1 Atypical speaking rates -- 8.1.2 Muscle fatigue and weakness -- 8.1.3 Intense acoustic disfluency -- 8.1.4 Reduced control of articulation and pitch -- 8.1.5 Pitch prosody -- 8.1.6 Evaluating and treating dysarthria -- 8.1.7 A noisy-channel model of dysarthria --

Part III. Technologies that enable expression -- 9. Augmentative and alternative communication -- 9.1 Symbols and rate enhancement in text entry -- 9.2 Paying for AAC devices -- 9.3 Devices that generate speech -- 9.3.1 Usage scenario -- 9.3.2 Fixed vs. dynamic displays -- 10. Supporting daily activities through speech -- 10.1 Personal caregiving robots --

11. Final thoughts -- Bibliography -- Author's biography.

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

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Approximately 10% of North Americans have some communication disorder. These can be physical as in cerebral palsy and Parkinson's disease, cognitive as in Alzheimer's disease and dementia generally, or both physical and cognitive as in stroke. In fact, deteriorations in language are often the early hallmarks of broader diseases associated with older age, which is especially relevant since aging populations across many nations will result in a drastic increase in the prevalence of these types of disorders. A significant change to how healthcare is administered, brought on by these aging populations, will increase the workload of speech-language pathologists, therapists, and caregivers who are often already overloaded. Fortunately, modern speech technology, such as automatic speech recognition, has matured to the point where it can now have a profound positive impact on the lives of millions of people living with various types of disorders. This book serves as a common ground for two communities: clinical linguists (e.g., speech-language pathologists) and technologists (e.g., computer scientists). This book examines the neurological and physical causes of several speech disorders and their clinical effects, and demonstrates how modern technology can be used in practice to manage those effects and improve one's quality of life. This book is intended for a broad audience, from undergraduates to more senior researchers, as well as to users of these technologies and their therapists.

Also available in print.

Title from PDF title page (viewed on March 20, 2016).