Voice-related Biomarkers / edited by Mette Pedersen, Neveen Hassan Nashaat, Valentina Camesasca, Ramón Hernández Villoria, Sneha Das.

Format:

Book

Author/Creator:

Pedersen, Mette.

Contributor:

Pedersen

Series:

Medicine Series

Language:

English

Subjects (All):

Otolaryngology.

Neurology.

Otorhinolaryngology.

Local Subjects:

Otorhinolaryngology.

Neurology.

Physical Description:

1 online resource (258 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This 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.

Contents:

Preface

. 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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-03134-6

9783032031341

OCLC:

1574121106