logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Pathological Voice Analysis 1st Ed David Zhang Kebin Wu

  • SKU: BELL-22474184
Pathological Voice Analysis 1st Ed David Zhang Kebin Wu
$ 31.00 $ 45.00 (-31%)

4.0

96 reviews

Pathological Voice Analysis 1st Ed David Zhang Kebin Wu instant download after payment.

Publisher: Springer Singapore;Springer
File Extension: PDF
File size: 4.65 MB
Author: David Zhang, Kebin Wu
ISBN: 9789813291959, 9789813291966, 9813291958, 9813291966
Language: English
Year: 2020
Edition: 1st ed.

Product desciption

Pathological Voice Analysis 1st Ed David Zhang Kebin Wu by David Zhang, Kebin Wu 9789813291959, 9789813291966, 9813291958, 9813291966 instant download after payment.

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.


Related Products