Voice browser is a device that interprets voice input and generates voice output. It interprets scripts specifying what verbal information to present to users and when. Voice browsers were motivated by the fact that there are more phones than computers globally, phone usage is growing, and speaking is natural for phones. Key technologies include speech recognition to convert voice to text, speech synthesis to convert text to voice output, and VoiceXML for building voice applications. Voice browsers allow accessing information and services by voice on mobile devices.

1.  Topic voice Browser
 Registration # 2013-ag-6094
 Name javaria kanwal
 Supervisor Miss.uzma satter
Submitted to
Prof. Akmal Rehan
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2. VOICE BROWSER
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3. WHAT IS A VOICE BROWSER
A voice browser is a device :
that interprets voice input and interprets voice markup
languages to generate voice output.
that interprets a script which specifies exactly what to verbally
present to the user as well as when to present each piece of
information.
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4. MOTIVATION
There are 10 times as many telephones as connected PCs.
Cell phones usage is growing dramatically.
Speaking and listening are the natural usage modes for modes. Easy
to use - for people with no knowledge or fear of computers.
Voice interaction can escape the physical limitations on keypads and
displays as mobile devices become ever smaller
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5. KEY TECHNOLOGIES
 Speech Recognition
Voice input VoXML file  Text
 Speech Synthesis
Text  VoXML file  Output(Pre-recorded)
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6. WORLD WIDE WEB CONSORTIUM(W3C)
World Wide Web Consortium(W3C) develops
interpretable technologies(software and tools) to
lead the web to its full potential as a forum of
information ,commerce and communication.
 W3C Speech interface framework
 VoiceXML
 Speech recognition
 Call control
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7. VOICEXML
voiceXML is a dialog markup language designs for
telephony applications where users are restricted to voice
and DTMF (touch tone) input.
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9. SPEECH RECOGNITION
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10. SPEECH GRAMMAR
 Speech grammars allow authors to specify the rules for
covering the sequence of words that users are expected
to say in particular context.
 These contextual clues allow the recognition engine to
focus on likely utterances , improving the chances of the
correct match
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11. STOCHASTIC (N GRAM) LANGUAGE MODELS
 Speech grammar is un useful in case of open-
ended prompt e.g. how can I help you
 The solution is to use a stochastic language
models. such models specify the probability that
one word occurs following certain others. the
probabilities are computed from the collection of
utterances collected from many users.
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12. SEMANTIC INTERPRETATION
The recognition process matches an utterance to a
speech grammar, building a parse tree as a
byproduct.
There are two approaches to harvesting semantic
rules from the parse tree :
1. Automating grammar rules with semantic
interpretation tags
2. Representing the results in XML
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13. CALL CONTROL
 Fine-grained control of speech (signal processing )
resources and telephony resources in a VoiceXML
telephony platform.
 Will enable application developers to use markup to
perform call screening, whisper call waiting call
transfer, and more.
 Can be used to transfer a user from on voice
browser to another on a completely different
machine.
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14. APPLICATIONS
 It can be divided into three categories :
 Web Browsing
 Limited information Access
 Spoken Dialog Systems
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15. FUTURE
•Voice browsing will become visual(Multi-modal)
•Can be integrated to an OS
•Integrated to every application.
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16. CONCLUSION
 Browser technology is changing very fast these
days and we are moving from the visual paradigm
to the voice paradigm.
 Voice browser is the technology to enter this
paradigm.
 Voice browser is a device which interpret voice
input and generate voice output.
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