Signal and Acoustic Modeling for Speech and Communication Disorders (Speech Technology and Text Mining in Medicine and Health Car) - Hardcover
Synopsis
*Shows the role of spectrographic analysis and pattern recognition techniques in the delivery of healthcare.*Demonstrates speech enhancement methods for creating synthetic voice in laryngectomees and speakers with other degenerative conditions that affect vocal cords.*Shows the benefits of a novel nonlinear discriminate analysis based approach in noise robust automatic speech recognition (ASR) for transcribing medical documents. This volume explains the role of speech signal processing in critical care and the management of patient care. The material focuses on the use of speech technology for performing medical case management, whether it is crisis intervention for critical care or the treatment of chronic medical conditions. Included are topics ranging from the use of spectrographic analysis, source-system models and pattern recognition techniques, voice and speech therapy, evaluating statistical speech enhancement methods for synthetic voice recovery , preserving speaker identity, and using affective computing, to the use of nonlinear discriminate analysis in noise robust automatic speech recognition (ASR) for transcribing medical documents. Contributors are drawn from leading academic institutions and medical academies throughout the world. They consist of neuroscientists and biomedical engineers, speech scientists and speech pathologists, and others working in speech technology in healthcare.
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About the Author
Hermant A. Patil, DA-IICT, Gujarat, India; Manisha Kulshreshtha, Haskins Laboratories at Yale University, New Haven, CT.
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