Speech Processing for IP Networks Media Resource Control Protocol (MRCP)
Fr. 92.00
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
13.03.2007
Verlag
WileySeitenzahl
368 (Printausgabe)
Dateigröße
5408 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470060605
Media Resource Control Protocol (MRCP) is a new IETF protocol,
providing a key enabling technology that eases the integration of
speech technologies into network equipment and accelerates their
adoption resulting in exciting and compelling interactive services
to be delivered over the telephone. MRCP leverages IP
telephony and Web technologies such as SIP, HTTP, and XML
(Extensible Markup Language) to deliver an open standard,
vendor-independent, and versatile interface to speech
engines.
Speech Processing for IP Networks 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.
providing a key enabling technology that eases the integration of
speech technologies into network equipment and accelerates their
adoption resulting in exciting and compelling interactive services
to be delivered over the telephone. MRCP leverages IP
telephony and Web technologies such as SIP, HTTP, and XML
(Extensible Markup Language) to deliver an open standard,
vendor-independent, and versatile interface to speech
engines.
Speech Processing for IP Networks 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.
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