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Hemant A. Patil & Amy Neustein 
Signal and Acoustic Modeling for Speech and Communication Disorders 

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Cover of Hemant A. Patil & Amy Neustein: Signal and Acoustic Modeling for Speech and Communication Disorders (ePUB)

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, intellectual disabilities, and neuro-motor impairments. Utilizing some of the most advanced methods in signal and acoustic modeling, this eminent group of contributors show how such technologies can inure to the benefit of healthcare and to society writ large. Paradoxically, what most of us take for granted still remains a Sisyphean battle for those with speech and language disorders, who struggle every day to make themselves heard and understood. The purpose of this book is to stimulate a vibrant discussion among speech scientists, system designers, and practitioners on how to best marshal the latest advances in signal and acoustic modeling to address some of the most challenging speech and communication disorders affecting a wide variety of patient populations across the world.

€79.95
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Table of Content


  • Signal Processing for Voice and Speech Technology

  • Synthetic Voice Recovery and Statistical Speech Enhancement

  • Repaired Synthetic Voice Reconstruction

  • Voice Banks and Voice Repair (Normal and Synthetic)

  • Austism and Affective Computing

  • Speech and Communication Disorders

  • Alaryngeal Speech Enhancement

  • About the author

    Hermant A. Patil, DA-IICT Gandhinagar, India; Amy Neustein, Linguistic Technology Systems Inc.; Manisha Kulshreshtha, New York.
    Language English ● Format EPUB ● Pages 286 ● ISBN 9781501502439 ● File size 6.5 MB ● Editor Hemant A. Patil & Amy Neustein ● Publisher De Gruyter ● City MA ● Published 2018 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 7344788 ● Copy protection Adobe DRM
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