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Speech Echoes of Brain Disorders: Leveraging Pattern Mining to Understand Neurological Decline
Human voices carry more than words-they carry signs of health, memory, and cognition. Subtle shifts in rhythm, tone, and fluency can reveal the earliest traces of neurological disease, often before traditional tests detect decline.
Speech Echoes of Brain Disorders explores this frontier where neurology, linguistics, and artificial intelligence converge. Written in a clear and engaging style, it offers a comprehensive journey into how speech pattern mining is transforming the understanding and monitoring of conditions such as Alzheimer’s disease, Parkinson’s disease, ALS, and other disorders of the brain.
Across seven in-depth chapters, readers are guided through the science of speech as a neurological biomarker, the computational methods used to analyze vocal data, and the ethical, clinical, and regulatory challenges of bringing these technologies into real-world healthcare. Practical appendices provide tools, datasets, glossaries, and case study templates-making this work both a scholarly resource and a roadmap for practitioners.
This book is ideal for:
Researchers in computational linguistics, neuroscience, AI, and biomedical engineering.
Clinicians seeking innovative, non-invasive diagnostic and monitoring tools.
Students and early-career professionals entering the interdisciplinary field of speech-based health technologies.
Policy makers and ethicists grappling with the social implications of voice-based diagnostics.
With clarity and depth, this volume illuminates a future where listening closely to the human voice may help save memory, preserve movement, and protect dignity.
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