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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