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024 7 _a10.1007/978-3-032-03134-1
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245 1 0 _aVoice-related Biomarkers
_h[electronic resource] /
_cedited by Mette Pedersen, Neveen Hassan Nashaat, Valentina Camesasca, Ramón Hernández Villoria, Sneha Das.
250 _a1st ed. 2026.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2026.
300 _aX, 180 p. 45 illus., 39 illus. in color.
_bonline resource.
336 _atext
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_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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341 0 _bPDF/UA-1
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341 0 _bTable of contents navigation
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341 0 _bSingle logical reading order
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341 0 _bShort alternative textual descriptions
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341 0 _bUse of color is not sole means of conveying information
_2onix
341 0 _bUse of high contrast between text and background color
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341 0 _bNext / Previous structural navigation
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341 0 _bAll non-decorative content supports reading without sight
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505 0 _aPreface -- . Methods -- 1. Committee on Biomarkers in Phoniatrics, Introduction -- 2. Overview of Voice Parameters in Parkinson’s Disease Allegedly as Biomarkers -- 3. AI-enhanced Voice Analysis for Neurologic Diseases -- 4. Modelling a Pre-clinical Screening Tool Based on Voice Biomarkers: The Case of Parkinson’s Disease -- 5. Glottal Inverse Filtering and Its Application in Automatic Classification of Diseases -- 6. (Bio)-markers and AI in Voice Disorders (Parkinson’s Disease): Opportunities and Challenges -- 7. Voice-related Biomarkers 2nd Union of European Phoniatricians/European Academy of Phoniatricians-British Laryngology Association, Joint Meeting -- 8. Software and Apps for Inverse Filtering of The Voice -- 9. Voice-related Biomarkers and Speech Measurements Determined with AI -- . Clinical Applications -- 10. Pathology of Voice-related Biomarkers in Laryngology -- 11. Voice-related Biomarkers in Neurodegenerative Disorders -- 12. Aspects of Genetics and Voice-related Biomarkers -- 13. Optical Coherence Tomography and Voice-related Biomarkers -- 14. Conclusion.
506 0 _aOpen Access
520 _aThis Open Access book provides a comprehensive exploration of voice as a biomarker, addressing a current issue where engineers often analyze voice using sentences without describing or understanding voice as a set of defined parameters among others visually. This approach poses challenges for effectively treating voice disorders, as the features defined by engineers may not align with clinical needs. Stemming from the work of the Biomarker Committee group under the European Union of Phoniatricians (UEP), this book is the result of collaborative efforts and presents clinical studies aimed at bridging the gap between engineering analyses and clinical requirements. In recent years, many engineers have utilized software for voice analysis, often within continuous speech sequences, but without adequately defining voice features or specifying the choice of machine learning programs. Organized into 14 chapters, the volume begins with an overview of voice biomarkers and relevant literature, covering the fundamental physiology of voice biomarkers and examining voice pathology. The last chapters discuss genetics and molecular biology aspects. This book will serve as an invaluable resource for medical specialists in otolaryngology, phoniatrics, and neurology, offering insights and approaches to enhance the understanding and treatment of voice-related conditions.
532 8 _aAccessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.
532 8 _aNo reading system accessibility options actively disabled
532 8 _aPublisher contact for further accessibility information: accessibilitysupport@springernature.com
650 0 _aOtorhinolaryngology.
650 0 _aNeurology .
650 1 4 _aOtorhinolaryngology.
650 2 4 _aNeurology.
700 1 _aPedersen, Mette.
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700 1 _aHassan Nashaat, Neveen.
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700 1 _aCamesasca, Valentina.
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700 1 _aHernández Villoria, Ramón.
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700 1 _aDas, Sneha.
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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856 4 0 _uhttps://doi.org/10.1007/978-3-032-03134-1
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