Speech Recognition for Mobile Phones
(Sprache: Englisch)
Speech Recognition for Mobile Phones provides an overview of practical aspects for the development and implementation of client-server, speech-enabled information systems. Readers will find plug-in ready solutions for DSR systems on mobile devices that operate on existing networks.
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Speech Recognition for Mobile Phones provides an overview of practical aspects for the development and implementation of client-server, speech-enabled information systems. Readers will find plug-in ready solutions for DSR systems on mobile devices that operate on existing networks.
Klappentext zu „Speech Recognition for Mobile Phones “
Speech Recognition for Mobile Phones considers practical aspects for the development and deployment of client-server speech-enabled information systems. The authors discuss different paradigms for speech recognition for mobile devices. The strengths of the DSR technique are be demonstrated. Platforms that have proven to be suitable for the implementation of acoustic front-ends on cellular phones (including Java Micro Edition (J2ME) and Symbian C++) are analyzed. In addition an introduction to corresponding integrated development environments such as Eclipse and Carbide is provided. The authors study issues related to an efficient data transmission over GSM and 3G networks, compare data transmission systems based on TCP/IP and UDP/IP protocols, and highlight their advantages and drawbacks. Finally, the use of DSR technology for practical applications, such as speech-enabled public transportation information access system for mobile phones, are demonstrated. This book provides the reader with plug-in ready solutions for the deployment of distributed speech recognition (DSR) systems on conventional mobile appliances that operate on existing network infrastructures.
Speech Recognition for Mobile Phones considers practical aspects for the development and deployment of client-server speech-enabled information systems. The authors discuss different paradigms for speech recognition for mobile devices. The strengths of the DSR technique are be demonstrated. Platforms that have proven to be suitable for the implementation of acoustic front-ends on cellular phones (including Java Micro Edition (J2ME) and Symbian C++) are analyzed. In addition an introduction to corresponding integrated development environments such as Eclipse and Carbide is provided. The authors study issues related to an efficient data transmission over GSM and 3G networks, compare data transmission systems based on TCP/IP and UDP/IP protocols, and highlight their advantages and drawbacks. Finally, the use of DSR technology for practical applications, such as speech-enabled public transportation information access system for mobile phones, are demonstrated. This book provides the reader with plug-in ready solutions for the deployment of distributed speech recognition (DSR) systems on conventional mobile appliances that operate on existing network infrastructures.
Inhaltsverzeichnis zu „Speech Recognition for Mobile Phones “
Paradigms for speech recognition for mobile devices.- Platforms for implementation of acoustic front-ends on cellular phones.- Efficient data transmission over GSM and 3G networks.- Server side architectures.- Use of DSR technology for practical applications.
Bibliographische Angaben
- Autoren: Dmitry Zaykovskiy , Wolfgang Minker
- 2011, 1st ed. 2015., 190 Seiten, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 1441961771
- ISBN-13: 9781441961778
- Erscheinungsdatum: 13.09.2015
Sprache:
Englisch
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