Lybrary.com: ebooks and download videos Search All  Title  Author 
Home / Nonfiction / Technology / Signals & Signal Processing

Robust Automatic Speech Recognition: A Bridge to Practical Applications

$135.00
| £106.06 | €123.59 | Ca$187.11 | Au$185.06
by Jinyu Li & Li Deng & Reinhold Haeb-Umbach
What is this?DRM-EPUB by download  |  $135.00
What is this?DRM-PDF by download  |  $135.00
add to wish list
Robust Automatic Speech Recognition: A Bridge to Practical Applications by Jinyu Li & Li Deng & Reinhold Haeb-Umbach

Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on practical methods that have been proven to be successful and which are likely to be further developed for future applications. The strengths and weaknesses of robustness-enhancing speech recognition techniques are carefully analyzed. The book covers noise-robust techniques designed for acoustic models which are based on both Gaussian mixture models and deep neural networks. In addition, a guide to selecting the best methods for practical applications is provided. The reader will:

  • Gain a unified, deep and systematic understanding of the state-of-the-art technologies for robust  speech recognition
  • Learn the links and relationship  between alternative technologies for  robust speech recognition
  • Be able to use the  technology analysis and categorization detailed in the book to guide future technology development
  • Be able to develop new noise-robust methods in the current era of deep learning for acoustic modeling in speech recognition

    • The  first book that provides a comprehensive review on noise and reverberation robust speech recognition methods in the era of deep neural networks
    • Connects robust speech recognition techniques to machine learning paradigms with rigorous mathematical treatment
    • Provides elegant and structural ways to categorize and analyze noise-robust speech recognition techniques
    • Written by leading researchers who have been actively working on the subject matter in both industrial and academic organizations for many years

      To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.


      SHARE  Share by Email  Share on Facebook  Share on Twitter  Share on Linked In  Share on Delicious
      or call in the US toll free 1-888-866-9150 product ID: 783996

      Ebook Details
      Pages: 306
      Size: 8.7 MB
      Publisher: Academic Press
      Date published:   2015
      ISBN: 2370007156597 (DRM-EPUB)
      9780128026168 (DRM-PDF)

      DRM Settings
      Copying:not allowed
      Printing:not allowed
      Read Aloud:  not allowed

    This product is listed in the following categories:

    Nonfiction > Technology
    Nonfiction > Technology > Engineering
    Nonfiction > Technology > Signals & Signal Processing

    These authors have products in the following categories:

    Nonfiction > Technology
    Nonfiction > Technology > Engineering
    Nonfiction > Technology > Signals & Signal Processing

    If you find anything wrong with this product listing, perhaps the description is wrong, the author is incorrect, or it is listed in the wrong category, then please contact us. We will promptly address your feedback.

    Submit 5 page SummaryWhat is this?

    05/22/2017
    © 2017 Lybrary.com