logo
Product categories

EbookNice.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://ebooknice.com/page/post?id=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.

EbookNice Team

(Ebook) Robust Digital Processing of Speech Signals by Branko Kovacevic, Milan M. Milosavljevic, Mladen Veinović, Milan Marković (auth.) ISBN 9783319536118, 9783319536132, 3319536117, 3319536133

  • SKU: EBN-5882982
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.7

16 reviews
Instant download (eBook) Robust Digital Processing of Speech Signals after payment.
Authors:Branko Kovacevic, Milan M. Milosavljevic, Mladen Veinović, Milan Marković (auth.)
Pages:233 pages.
Year:2017
Editon:1
Publisher:Springer International Publishing
Language:english
File Size:4.97 MB
Format:pdf
ISBNS:9783319536118, 9783319536132, 3319536117, 3319536133
Categories: Ebooks

Product desciption

(Ebook) Robust Digital Processing of Speech Signals by Branko Kovacevic, Milan M. Milosavljevic, Mladen Veinović, Milan Marković (auth.) ISBN 9783319536118, 9783319536132, 3319536117, 3319536133

This book focuses on speech signal phenomena, presenting a robustification of the usual speech generation models with regard to the presumed types of excitation signals, which is equivalent to the introduction of a class of nonlinear models and the corresponding criterion functions for parameter estimation. Compared to the general class of nonlinear models, such as various neural networks, these models possess good properties of controlled complexity, the option of working in “online” mode, as well as a low information volume for efficient speech encoding and transmission. Providing comprehensive insights, the book is based on the authors’ research, which has already been published, supplemented by additional texts discussing general considerations of speech modeling, linear predictive analysis and robust parameter estimation.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products