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Books > Computing & IT > Applications of computing > Signal processing

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Pathological Voice Analysis (Paperback, 1st ed. 2020) Loot Price: R4,661
Discovery Miles 46 610
Pathological Voice Analysis (Paperback, 1st ed. 2020): David Zhang, Kebin Wu

Pathological Voice Analysis (Paperback, 1st ed. 2020)

David Zhang, Kebin Wu

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Loot Price R4,661 Discovery Miles 46 610 | Repayment Terms: R437 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Release date: August 2021
First published: 2020
Authors: David Zhang • Kebin Wu
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 174
Edition: 1st ed. 2020
ISBN-13: 978-981-3291-98-0
Categories: Books > Computing & IT > Applications of computing > Signal processing
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Medicine > Nursing & ancillary services > Specific disorders & therapies > Speech & language disorders & therapy
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 981-3291-98-2
Barcode: 9789813291980

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