Pathological Voice Analysis
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Beschreibung
While voice is widely used in speech recognition and speaker identification, its application in biomedical fields is much less common. This book systematically introduces the authors’ research on voice analysis for biomedical applications, particularly pathological voice analysis.
Firstly, it reviews the field to highlight the biomedical value of voice. It then offers a comprehensive overview of the workflow and aspects of pathological voice analysis, including voice acquisition systems, voice pitch estimation methods, glottal closure instant detection, feature extraction and learning, and the multi-audio fusion approaches. Lastly, it discusses the experimental results that have shown the superiority of these techniques.
This book is useful to researchers, professionals and postgraduate students working in fields such as speech signal processing, pattern recognition, and biomedical engineering. It is also a valuable resource for those involved in interdisciplinary research.
While voice is widely used in speech recognition and speaker identification, its application in biomedical fields is much less common. This book systematically introduces the authors’ research on voice analysis for biomedical applications, particularly pathological voice analysis.
Firstly, it reviews the field to highlight the biomedical value of voice. It then offers a comprehensive overview of the workflow and aspects of pathological voice analysis, including voice acquisition systems, voice pitch estimation methods, glottal closure instant detection, feature extraction and learning, and the multi-audio fusion approaches. Lastly, it discusses the experimental results that have shown the superiority of these techniques.
This book is useful to researchers, professionals and postgraduate students working in fields such as speech signal processing, pattern recognition, and biomedical engineering. It is also a valuable resource for those involved in interdisciplinary research.
Offers a systematic introduction to pathological voice analysis Provides an overview of key steps in voice analysis for biomedical applications, including sample collection, preprocessing, feature extraction and learning, and classification Presents state-of-the-art algorithms for important techniques, including pitch estimation, GCI detection, feature learning and multi-audio fusion
Autor*in
David Zhang
Themen in »Pathological Voice Analysis«
Voice analysis Biomedical application of voice Voice collection system Harmonic enhancement Glottal closure instant estimation Multi-audio fusion Multi-audio learning Feature learning Feature Extraction Pattern recognition