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VOICE BROWSER PDF

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Voice Browser Seminar Report - Download as Word Doc .doc /.docx), PDF File ( .pdf), Text File .txt) or read online. Seminar report. INTRODUCTION A voice browser is a ―device which interprets a (voice) markup language and is capable of generating voice output and/or interpreting voice. Design Technique for Voice olhon.info IJARBEST INTERNATIONAL SCIENTIFIC PUBLICATIONS. I. International ISSN X (Print) ISSN X.


Voice Browser Pdf

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hyperlinks, and download any type of data right from PDF files, Presentations, Word creating a Voice Based Browser that is a completely hands-free search. Voice Browser, Ask Latest information, Voice Browser Abstract,Voice Browser Report,Voice Browser Presentation (pdf,doc,ppt),Voice Browser technology. Voice browser pdf documentation. Free Download e-Books Unfortunately as you are discovering, the Windows app store is still woefully deficient. Voice browser.

Biswajita Pattnaik. The fact that the system deals with speech is obvious given the first word of the name, but what makes a software system that interacts with the user via speech a "browser"? The information that the system uses for either domain data or dialog flow is dynamic and comes somewhere from the Internet.

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From an end-user's perspective, the impetus is to provide a service similar to what graphical browsers of HTML and related technologies do today, but on devices that are not equipped with full-browsers or even the screens to support them. This situation is only exacerbated by the fact that much of today's content depends on the ability to run scripting languages and 3rd-party plug-ins to work correctly.

Much of the efforts concentrate on using the telephone as the first voice browsing device. This is not to say that it is the preferred embodiment for a voice browser, only that the number of access devices is huge, and because it is at the opposite end of the graphical-browser continuum, which high lights the requirements that make a speech interface viable.

By the first meeting it was clear that this scope-limiting was also needed in order to make progress, given that there are significant challenges in designing a system that uses or integrates with existing content, or that automatically scales to the features of various access devices.

Voice Browsing refers to using speech to navigate an application.

These applications are written using parts of the Speech Interface Framework. A definition of the latter is not specified, but a list of criteria is given that any proposed language should adhere to. An important requirement of any proposed dialog language is ease-of-creation.

Dialogs can be created with a tool as simple as a text-editor, with more specific tools, such as an XML structure editor, to tools that are special-purposed to deal with the semantics of the language at hand.

It defines a speech recognition grammar specification language that will be generally useful across a variety of speech platforms used in the context of a dialog and synthesis markup environment. When the system or application needs to describe to the speech-recognizer what to listen for, one way it can do so is via a format that is both human and machine-readable.

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This architecture illustrates one possible arrangement of the main components of a typical system, and should not be construed as a recommendation. It establishes a prioritized list of requirements for natural language processing in a voice browser environment.

The NLP requirements document describes the requirements of a system that takes the latter approach, using an example www. Slots in the frame that are optionally filled guide the dialog and provide contextual information used for task-selection.

It establishes a prioritized list of requirements for speech synthesis markup which any proposed markup language should address. A text-to-speech system, which is usually a stand-alone module that does not actually "understand the meaning" of what is spoken, must rely on hints to produce an utterance that is natural and easy to understand, and moreover, evokes the desired meaning in the listener.

In addition to these prosodic elements, the document also describes issues such as multi-lingual capability, pronunciation issues for words not in the lexicon, time-synchronization, and textual items that require special preprocessing before they can be spoken properly. The World Wide Web Consortium W3C develops interoperable technologies specifications, guidelines, software, and tools to lead the Web to its full potential as a forum for information, commerce, communication, and collectiveunder standing.

W3C which includes: Voice Browser Working Group 2. Speech Interface Framework 3. It was established on 26 March and re-chartered through 31 January W3C voice browser working group made the speech interface framework possible. This framework allows developers to create speech enabled applications that are based on Web technologies. The framework also provides developer with an environment that will be familiar to those who are familiar with Web development techniques.

So, applications are written using parts of speech interface framework. In much the same way as Web applications are written in html and run on a Web browser.

Voice Browser Working Group are coordinating their efforts to make the Web available on more devices and in more situations.

The Aim of the W3C Working Group is to enable users to speak and listen to Web applications by making standard languages for developing Web-based speech applications.

This Working Group concentrates on languages for capturing and producing speech and managing the conversation between user and computer system, while a related Group, the Multimodal Interaction Working Group, works on additional input modes including keyboard and mouse, ink and pen, etc.

W3C Recommendations: Its recommendations have been reviewed by w3c group Members, by software developers, and other interested parties, and are also endorsed by the Director as Web Standards. These framework includes: A language for creating audio dialogs that feature synthesized speech, digitized audio, recognition of spoken and DTMF key input, recording of spoken input, telephony, and mixed initiative conversations. Some of its versions are: A document language that can be used by developers to specify the words and patterns of words to be listened for by a speech recognizer or other grammar processor.

A markup language for rendering a combination of prerecorded speech, synthetic speech, and music. Document format that represents annotations to grammar rules for extracting the semantic results from recognition. A representation of phonetic information for use in speech recognition and synthesis. The prototype is assumed to have a phone-based physical medium.

The architecture is first introduced, which is followed by the functions provided by the prototype. The system consists of three modules: The voice driven interface of the prototype includes a voice recogniser, a DTMF recogniser, aspeech synthesiser and an audio engine. Hence, a command issued to the system can be in one of two forms: DTMF assigns a specific frequency, or tone, to each key on a touch-tone telephone so that it can easily be identified by a microprocessor.

The purpose of DTMF in the architecture is justified by the cost effectiveness to supplement the voice functions.

Although voice recognition technology is capable to handle most of the translation task, it is however an expensive one. This will be used for issuing commands that are not complex enough to warrant the translation to a voice driven format.

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The Voice Driven Interface essentially accepts spoken words as input. The input signals are thencompared against with a set of pre-defined commands. If there is an appropriate match, the corresponding command is output to the Command Processor. The engine also handles auxiliary functions in conjunction with the speech synthesis engine such as the confirmation of commands where appropriate, speed control and the URL dictation system.

The output is in the form of spoken synthesised text, or sounds for the auditory icons. The input for these two engines comes from the Command Processor.

The input can either be a text stream consisting of the actual information to be read out as the content of the page processed by the TTS engine , or an instruction to play a sound as an auditory icon to mark a document structure processed by the audio engine. When a user requests an HTML document, the contents of the document must first be parsed and translated to a form which is suitable for use in the audio realm.

This includes the removal of unwanted tags and information, and the retagging of structures for compliance and subsequent use with the audio output engine of the interface.

Voice Browsers

The translator also summarises information about the document such as the title and positions of various structures for use with the document summary feature. It also controls the navigation between web pages, and the functionality associated with this navigation bookmarks, history list, etc. This component also processes all the other system and housekeeping commands associated with the program.

The stream consists of a combination of actual textual information, and tags to mark where audio cues should be played. The diagram will help us to pinpoint areas currently outside the scope of existing groups. Not all segments of this diagram need be present in any one system, and systems which implement various subsets of this functionality may be organized differently. Systems built entirely third-party components, with architecture imposed, may result in unused or redundant functional blocks.

Two types of clients are illustrated: The fundamental telephony client is, of course, the telephone, either wirelined or wireless. A speakerphone will also require an acoustic echo canceller to remove room echoes. The data network interface will require only acoustic echo cancellation if used with an open microphone since there is no line echo on data networks. The IP interface is shown for illustration only. Other data transport mechanisms can be used as well.

The model architecture is shown below. Voice Browsing: This is the first level in examining the technique of voice browsing. The simplest way of understanding the voice browser and the voice web would be to take the web itself into consideration.

Now, the voice web contains voice sites where the feedback is delivered through dialogues. The most basic example would be calling up our cellphone operator portal, where speech recognition software provides the caller with a series of options like recharging your account, talking to the customer care executive or listen to the new offers. The technology of voice browsing has brought down the cost considerably, since earlier it would cost a rupee per minute for human operators to talk to customers while 10paise per minute for an automated call.

Voice browsing also has its use in the corporate sector specially in banks and airlines. This is the second level through which we can examine the voice browsing technique. We can browse the websites through voice which offer voice portals. The information that the system uses for either domain data or dialog flow is dynamic and comes somewhere from the Internet.

From an end-user's perspective, the impetus is to provide a service similar to what graphical browsers of HTML and related technologies do today, but on devices that are not equipped with full-browsers or even the screens to support them. This situation is only exacerbated by the fact that much of today's content depends on the ability to run scripting languages and 3rd-party plug-ins to work correctly.

Much of the efforts concentrate on using the telephone as the first voice browsing device. This is not to say that it is the preferred embodiment for a voice browser, only that the number of access devices is huge, and because it is at the opposite end of the graphical-browser continuum, which high lights the requirements that make a speech interface viable. By the first meeting it was clear that this scope-limiting was also needed in order to make progress, given that there are significant challenges in designing a system that uses or integrates with existing content, or that automatically scales to the features of various access devices.

Grammar Representation Requirements It defines a speech recognition grammar specification language that will be generally useful across a variety of speech platforms used in the context of a dialog and synthesis markup environment. Model Architecture for Voice Browser Systems Representations "To assist in clarifying the scope of charters of each of the several subgroups of the W3C Voice Browser Working Group, a representative or model architecture for a typical voice browser application has been developed.

This architecture illustrates one possible arrangement of the main components of a typical system, and should not be construed as a recommendation. The data that a voice browser uses to create a dialog can vary. In addition to these prosodic elements. Speech Synthesis Markup Requirements It establishes a prioritized list of requirements for speech synthesis markup which any proposed markup language should address.

Slots in the frame that are optionally filled guide the dialog and provide contextual information used for task-selection. The NLP requirements document describes the requirements of a system that takes the latter approach. A text-to-speech system. Voice Browser What is a Voice Browser?

A voice browser is a device: Interpreted NL services. The primary application interface for the output is coordinated with other modes of input that task manager is expected to be web servers, but can be may require interpretation in the current NL context or other API's as well.

It is the responsibility of the multi-media Finally, the presentation manager, or output media integration module to produce possibly multiple "renderer," has responsibility for formatting multi- coordinated joint interpretations of the multi-modal media output in a coordinated manner. The input and present these to the dialog manager. The dialog manager is responsible for the final selection of 5. Technology: 1. Voice Recognition systems that also read body language and The task manager is primarily an Application Program facial expression can also be used for threat Interface API , but can also include pragmatic and assessment at lets say airports, border application specific reasoning.

The task manager can crossings and replace human workers at those locations or choke points. Emulation of Emotion and Empathy: 1. Information and reservation lines Emulating emotion and empathy is on its 2.

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Call center solutions way right now. Currently, most consultants 3. Telephony integration with business of artificial intelligent customer response processes and IT systems CTI systems for 'call centers' advise that the 4.

Value added systems for corporate voice on the other end if coming from a telephony machine, should be easily identifiable by the 5. Monitoring and dispatch systems human calling in as a computer systems 6.

Many more telephony and speech with voice recognition features, because applications [1][15] humans do not like to be tricked, when they find out, it makes them upset.If there is an appropriate match, the corresponding command is output to the Command Processor. Log In Sign Up. Slots in the frame that are optionally filled guide the dialog and provide contextual information used for task-selection. An important requirement of any proposed dialog language is ease-of-creation.

Again, the problem with dictating URL addresses was brought up. H6 headers.

Especially when used as part of a link, alternative content must be provided so that the voice browser can accurately render the page in a manner useful to the user. The Voice Web: The NLP requirements document describes the requirements of a system that takes the latter approach, using an example paradigm of a set of tasks operating on a frame-based model.