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Speech Processing for IP Networks

Speech Processing for IP Networks David Burke
ISBN: 0470028343
April 2007

The book brings these technologies together into a single volume, giving the reader a solid technical understanding of the principles of MRCP, how it leverages other protocols and specifications for its operation, and how it is applied in modern IP-based telecommunication networks.  Focusing on the MRCPv2 standard developed by the IETF SpeechSC Working Group, this book will also provide an overview of its precursor, MRCPv1.

Speech Processing for IP Networks:

  • Gives a complete background on the technologies required by MRCP to function, including SIP (Session Initiation Protocol), RTP (Real-time Transport Protocol), and HTTP (Hypertext Transfer Protocol).
  • Covers relevant W3C data representation formats including Speech Synthesis Markup Language (SSML), Speech Recognition Grammar Specification (SRGS), Semantic Interpretation for Speech Recognition (SISR), and Pronunciation Lexicon Specification (PLS).
  • Describes VoiceXML - the leading approach for programming cutting-edge speech applications and a key driver to the development of many of MRCP’s features.
  • Explains advanced topics such as VoiceXML and MRCP interworking.

This text will be an invaluable resource for technical managers, product managers, software developers, and technical marketing professionals working for network equipment manufacturers, speech engine vendors, and network operators. Advanced students on computer science and engineering courses will also find this to be a useful guide.

source: Wiley




2 Responses to “Speech Processing for IP Networks”

  1. Speech Processing for IP Networks « IP Solutions
    February 6th, 2008 11:53
    1

    […] entry was written by Tony. Bookmark the permalink. Follow any comments here with the RSS feed for this post.Content related […]

  2. Dallas Business Phones
    February 9th, 2008 18:28
    2

    Great book. I highly recommend for anyone who needs to conquer the language of IP communications. With voice becoming data, this is a must read.

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