u1-o/---vu
`
`f'fti//;'f(.PY
`t'lU/;:).0/.10~0 ,:JJ\lllUUJUCUJ
`!-'Approved for use through 04/11/98. OMB 0651-0037
`Patent and Trademark Office; U.S. DEPARTMENT OF COMMERCE
`
`PROVISIONAL APPLICATION FOR PATENT COVER SHEET
`This is a request for filing a PROVISIONAL APPLICATION FOR PATENT under 37 C.F.R. § 1.53(b)(2).
`
`CERTIFICATE OF MAILING BY "EXPRESS MAIL"
`
`Express Mail Label No.: EE698244522US
`
`Date of Deposit: January 4, 2000
`
`I hereby certify that this paper or fee is being deposited with the United States Postal Service "Express Mail Post Office to Addressee" service under 37 C.F.R. § 1.10
`on the date indicated above and is addressed to: Assistant Commissioner for Patents, Washington, D.C. 20231.
`
`~C,~
`
`Andrea C. Morales
`
`Docket
`Number
`
`43794-
`30001.00
`
`Type a plus sign(+)
`inside this box
`
`o
`
`INVENTOR(s)/ APPLICANT(s)
`
`FIRST NAME
`
`MIDINIT
`
`RESIDENCE (CITY AND STATE/FOREIGN COUNTRY)
`
`LAST NAME
`
`Kuwadekar
`
`Desai
`
`Sodhi
`
`Kovatch
`
`F
`
`..
`..
`
`'
`
`Sanjeev
`
`Adesh
`
`Deepak
`
`Alex
`
`R.
`
`R.
`
`L.
`
`Northridge, California
`
`Northridge, California
`
`Northridge, California
`
`Manhattan Beach, California
`
`TITLE OF THE INVENTION (280 characters max)
`
`VOICE RESPONSE SYSTEM
`
`CORRESPONDENCE ADDRESS
`
`Wen Liu
`Morrison & Foerster LLP
`555 West Fifth Street, Suite 3500
`Los Angeles, California 90013-1024
`(213) 892-5321
`
`,.
`;;
`
`G
`G
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`
`0
`......
`P._....t
`r -
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`fllc:r
`
`\.,;
`"'1'"'
`
`ENCLOSED APPLICATION PARTS (check all that apply)
`
`IEI Specification Number of Pages 14
`!Bl Drawing(s) Number of Sheets 4
`
`D Small Entity Statement
`--
`
`I!] A check or money order is enclosed to cover the Provisional filing fees.
`D The Assistant Commissioner is hereby authorized to charge filing fees and credit
`DeJ!OSit Account No.: 03-1952.
`
`PROVISIONAL
`FILING FEE
`AMOUNT($)
`
`$150.00
`
`METHOD OF PAYMENT (check one)
`
`The invention was made by an agency of the United States Government or under a contract with an agency of the United States Government.
`!El No.
`D Yes, the name of the U.~. Government agency and the Government contract number are:
`j A
`~
`Respectfully submitted,
`SIGNATURE ~ ~
`j
`TYPED or PRINTED NAME: Wen Liu
`(32,822)
`REGISTRATION NO.:
`D Additional inventors are being named on separately numbered sheets attached hereto.
`
`,
`
`/
`
`1
`
`Date:
`
`January 4, 2000
`
`1181 OG 62 (12/95)
`la-349073
`
`USE ONLY FOR A PROVISIONAL APPLICATION FOR PATENT
`
`

`

`43794-3000100
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`VOICE RESPONSE SYSTEM
`(Hey Anita)
`
`ABSTRACT
`
`A voice response system (Hey Anita) and methods for navigating any network and using
`facilities and applications provided by various destination nodes within the network. No
`change is required in the applications provided by the destination nodes. A user can
`control and navigate the system with no prior knowledge of the system via self-discovery
`facilities provided as part of a learning system that adapts itself to the user.
`
`SUMMARY
`
`Users spoken utterance is analyzed and matched with an index of destinations. A list of
`valid destinations is produced and the user is the guided along the path with pre-recorded
`voice prompts. The user accessing the system can control the navigation via more speech
`and/or telephone keypad entry. The intent of the system is to be able to come up with a
`single choice destination amongst the many offered within the system.
`
`The decision to choose a valid destination is driven by a variety of factors
`User preferences
`User profile derived from usage pattern history
`User responses
`Advertiser rules
`Utterance match weightage
`Active context
`Call origin
`Call date/time
`Call length
`
`The destination that is derived earlier is then accessed via spoken utterance and/or
`telephone keypad entry. User specific information about the destination is derived from
`the user profile and the current call context and is used to offer access to the facilities
`offered by the destination. The facilities offered are specific to the application provided
`by the destination node.
`
`User responses and queries are appropriately translated to the destination format and vice
`versa. All of the interaction is via concatenated pre-recorded or synthesized voice
`segments or fragments.
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`FEATURES AND FUNCTIONALITY
`
`One of the primary components of the Hey Anita system is the Anita Server, which
`consists of several components to implement the following functionality and features:
`
`1. Wait for an incoming call
`2. When a call is received, listen to user's voice as commands and/or free-form
`speech or telephone keypad entry
`3. Decompose spoken utterance into proprietary commands using proprietary word(cid:173)
`mapping techniques and voice recognition grammar
`4. Ask relevant questions in order to determine user preferences and context
`5. Identify the destination using proprietary search algorithms within the destination
`tree
`6. Navigate to the destination and retrieve requested information
`7. Translate retrieved information into voice prompts
`8. Generate commercials based on user preferences, usage history patterns and
`context
`9. Intermix commercials and information in a seamless manner to generate unique
`entertaining experience for the user
`10. Return information back to the user in the form of concatenated speech fragments
`and/or synthesized voice
`
`ANITA SERVER - ARCHITECTURE
`
`:::
`
`Fig 1 is a schematic representation of the Anita Server Architecture. The Anita Server is
`a fault tolerant, scaleable, remotely manageable, multi-threaded NT Service. This
`comprises the following components:
`
`a.
`
`Anita Telephone lntelface
`
`Implements call management features such as ring and hangup detection, call
`switch-over, call transfer, call waiting and tromboning. This also implements
`functionality to transform computer audio files (.wav files) to audio streams that can be
`played on a telephone and to detect user utterances on the phone line to pass them on to
`the Anita Speech Recognition Engine. This may be implemented using Dialogic system
`software version DNA 3.2 and Nuance Speech recognition system version 6.2.
`
`b.
`
`Anita Speech Recognition Engine
`
`Translates spoken utterances to a set of text phrases. This engine supports a
`number of languages and is speaker independent. This may be implemented using
`Nuance Speech recognition system version 6.2. This engine serves as input to the Anita
`Natural Language Engine, described below.
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`c.
`
`Anita Natural Language Engine
`
`Converts natural language sentences to a set of structured commands. These
`structured commands are then used to drive Anita Query Engine. This implementation is
`entirely proprietary to Hey Anita.com. The Anita Natural Language Engine in
`conjunction with Anita Query Engine identify destination nodes and the applications that
`are available to the user. This engines serves as input to the Anita Query Engine,
`described below.
`
`d.
`
`Anita Query Engine
`
`Maps commands to an application defined using the Hey Anita.com function
`library (see Appendix A) and state machine definition language. An example of an
`application would be to obtain weather information using Yahoo! Web site. This would
`provide a user of the system the capability of listening to weather information for a set of
`cities or zip codes. The Anita Query Engine does the following:
`
`1) Play voice prompts for the user to exactly identify an application
`2) Generate web URLs to initiate execution of the selected application
`3) Hand over control to the Anita State Machine and Web Parser, described
`below
`
`e.
`
`Anita State Machine and Web Parser
`
`Anita State Machine and Web Parser executes state machines written using a
`proprietary function library. This retrieves information web sites and other applications
`that are enabled for this operation. In addition, its web-parsing function also allows Anita
`Query Engine to retrieve web pages from any conventional web site on the Internet and
`convert unstructured HTML data into meaningful structured data. It is not mandatory to
`make changes to existing web sites to make them work with Anita State Machine and
`Web Parser. An example of this would be the operations performed to pass in a zip code
`to the Yahoo web site, execute the form to retrieve the results, select and format the
`results, play relevant information in the form of concatenated speech fragments. In this
`scenario the Yahoo! web site was not modified to support the operations nor was it aware
`that a voice-enabled application was using its HTML based services.
`
`f.
`
`Anita Profiler
`
`During each user session, Anita Query Engine transfers relevant information to
`Anita Profiler. Anita Profiler captures and filters this information to build a repository of
`user preferences, navigational history and usage patterns. Anita Profiler recognizes the
`phone number of the incoming caller and can work without any user registration.
`
`g.
`
`Anita Ad Mixer
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`Implements complex algorithms to create an entertaining experience for the user
`by mixing advertisements and information in a seamless manner. This algorithm is based
`on a variety of factors such as user preferences and usage patterns, advertisers' rules and
`currently active context.
`
`h.
`
`Anita Prompt Generator
`
`Converts text phrases to audio prompts. Unlike most other text-to-speech engine,
`Anita Prompt Generator implements algorithms to generate prompts in natural human
`voice using concatenated speech fragments rather than digitally created voice. However,
`in cases of completely unstructured text, Anita Prompt Generator uses Text-To-Speech
`software. This software may be based on Fonix Corporation TTS engine.
`
`i.
`
`Anita Repository
`
`All the Anita components are meta-data driven. All the data required to drive
`these components is stored in Anita Repository. This allows Anita developers to generate
`new voice applications in a matter of hours by simply adding the necessary meta-data to
`Anita Repository. This meta-data is stored in the form of relational database tables.
`
`j.
`
`Anita Replication Engine
`
`Smart replication engine that allows distribution of Anita Repository information
`to multiple Anita Servers in a reliable manner. This algorithm uses user preferences and
`usage patterns to replicate only the necessary information in order to avoid replication
`storms. In addition to Anita Repository data, Anita Replication Engine also distributes
`and applies software updates to all Anita Servers including itself .
`
`.:;
`
`k.
`
`Anita Manager
`
`Implements a set of standard interfaces for remotely monitoring and managing
`Anita Server components. These interfaces are used by Anita Toolbox to remotely
`monitor and manage Anita Server components.
`
`ANITA SERVER - PROCESS
`
`1. When a user calls, Anita Telephone Interface(l) receives the call and
`hands it over to Anita Speech Recognition Engine(2).
`2. Anita Speech Recognition engine(2) converts spoken utterance into text
`and sends it to Anita Natural Language Engine(3) for further processing.
`3. Anita Natural Language Engine(3) interprets Natural Language text and
`sends structured commands to Anita Query Engine(4).
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`4. Anita Query Engine( 4) takes into consideration all of the governing
`factors such as user preferences, user context, usage patterns and history to
`determine an end destination node for the user's request.
`5. Anita Query Engine(4) generates web queries needed to fulfill user's
`request and sends them to the Anita State Machine and Web Parser(8).
`6. Anita State Machine and Web Parser(8) browses the web to retrieve
`information requested by the user(l l ). It parses each received page to
`convert unstructured text into structured datasets.
`7. While Anita State Machine and Web Parser(&) is busy retrieving the
`requested information, Anita Query Engine( 4) asks Anita Prompt
`Generator( 6) to generate context-sensitive voice prompts. It also sends a
`request to Anita Profiler to add generated queries to the user's profile(?).
`8. Anita Prompt Generator(6) asks Anita Ad Generator(9) to create a set of
`entertaining commercials based on user's preferences and context.
`9. Anita Ad Generator(9) asks Anita Profiler(lO) for the user preference and
`usage history data and uses it to select appropriate commercials.
`10. Anita Prompt Generator(6) creates an audio stream based on commercials
`and web information returned by Anita State Machine and Web Parser(8)
`and sends it to Anita Telephone Interface(12).
`
`ANITA TOOLBOX
`
`To complement the features and functions of the Anita Server, the Anita Toolbox
`provides a comprehensive set of tools to facilitate business partners and developers to:
`
`Voice-enable existing web-sites and/or applications
`Build voice-enabled v-applications. This uses the function library to build
`state machines that can be executed by the Anita State Machine and Web
`Parser
`Remotely monitor and manage multiple Anita Servers
`
`ANITA SERVER- LOGICAL STRUCTURE
`
`Fig. 2 is a schematic representation of the logical internal structure of Anita Server:
`
`Anita Server consists of three logical servers. These servers could be implemented on
`one physical box or multiple physical boxes based on the size and load at each Anita site.
`If they are implemented on multiple boxes, all the boxes are connected on a single high(cid:173)
`bandwidth LAN segment.
`
`a. Anita Phone Server
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`Anita Phone Server implements computer telephony interface using CTI hardware and
`Anita Telephone Interface, Anita Speech Recognition Engine, Anita Prompt Generator.
`It connects to one or more digital lines to accept telephone calls.
`
`b. Anita Application Server
`
`Anita Application Server implements Anita applications using Anita Natural Language
`Engine, Anita Query Engine, Anita State Machine and Web Parser, Anita Profiler and
`Anita Ad Mixer. This server is connected to Internet using high-bandwidth lines. It also
`implements smart replication using Anita Replication Engine.
`
`c. Anita Database Server
`
`Anita Database Server implements Anita Repository database.
`
`Hey Anita INFRASTRUCTURE
`
`Fig. 3 is a schematic representation of the overall Hey Anita global infrastructure that
`comprises Anita Servers in various countries, cities, and other locales. The Anita Servers
`communicate with each other via a network such as the Internet. The Anita Replication
`Engine in the Anita Servers distributes Anita Repository information to other Anita
`Servers. Anita Monitoring Stations are provided to monitor and manage the interaction
`between the Anita Servers. The Anita Monitoring Stations may be Anita Servers which
`are configured for monitoring as their primary function. They may be similar to the
`Anita Managers.
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`HeyAnita.com Usage Scenarios
`
`User Profile
`
`User is registered with the system. She wants Hey Anita.com to recognize her based on
`the caller id of her phone without asking for any password/pin. She wants to travel to
`New York city and wants the system to help her make arrangements. She prefers using
`Expedia.com for Travel reservations and has a New York office in Manhattan.
`
`Feature: Free Form Query
`Users can use plain language utterances to navigate the system.
`
`Example 1: Weather
`How can I help you?
`Assistant:
`What is the weather forecast?
`User:
`Weather in your home city of Los Angeles is sunny and seventy
`Assistant:
`degrees with a high expected to be seventy-six and a low expected
`to be sixty. Would you like the extended forecast for Los
`Angeles?
`What's the weather like in New York?
`It's sunny and seventy degrees with a high expected to be seventy(cid:173)
`six and a low expected to be sixty. Would you like the extended
`forecast for New York?
`
`User:
`Assistant:
`
`Example 2: Buying a CD
`How can I help you?
`Assistant:
`User:
`I want to buy the new Guns and Roses CD
`Please wait while I find the cheapest price for you. CD-now has it
`Assistant:
`for eleven dollars and ten cents. Would you like to buy it now? ....
`
`Example 3: Stock Quotes
`How can I help you?
`Assistant:
`User:
`I want to know the stock price for Microsoft
`Assistant:
`Microsoft is currently trading at eighty-eight dollars.
`
`Feature: Clarification Questions
`If the user's query does not narrow the result set down to one destination then
`clarification questions are asked.
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`Example 1: Weather
`Assistant:
`How can I help you?
`User:
`Please tell the traffic conditions
`Assistant:
`Please say the freeway and direction that you are interested in
`User:
`4 oh 5 South
`405 South is clear from Northridge to Lax, then slows down to
`Assistant:
`Long Beach, then is clear to Irvine
`
`Example 2: Buying a CD
`Assistant:
`How can I help you?
`User:
`I want to buy CDs
`Assistant: Would you like to buy CDs from Amazon, CD Now or find the
`cheapest price.
`User:
`I like Amazon.
`Please tell me the name of the CD or the artist ...
`Assistant:
`
`Example 3: Post Office Directions
`Assistant:
`How can I help you?
`User:
`Post Office
`Say stamps to buy stamps, say directions to get the directions to
`Assistant:
`the post office or say shipping to get shipping status for parcels at
`the post office
`I want directions.
`The nearest post office is ...
`
`User:
`Assistant:
`
`Example 4: Travel to New york
`How can I help you?
`Assistant:
`I want to fly to New York tonight
`User:
`Assistant:
`Please wait while I find the best fare using Expedia. . . . . . . The fare
`to New York is $356. Would you like to buy it
`Please do and book me a hotel near my office.
`Your preferred hotel Sheraton in Manhattan is $227. Would you
`
`User:
`Assistant:
`like to book it
`User:
`Assistant:
`
`Please do and also get me a rental car.
`You are all set. Thanks for using Hey Anita.com
`
`Upon Arrival in New York
`User:
`I need directions to the hotel.
`HeyAnita recognizes that the call originates from a JFK airport phone number
`Assistant:
`Directions to your hotel in Manhattan ...... .
`
`Feature: Organized Catalog
`The way in which data is added and stored is also important creating a navigable
`application. Information is organized in a "tree" structure as shown in Fig. 4. Fig. 4
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`demonstrates the organized tree of information which helps to show how the clarification
`questions would be asked while narrowing down the search.
`
`Unlike with the internet, the creator of a VRU can plan and control the creation and
`growth of this tree so that it remains usable.
`
`Feature: Self-Discovering Features
`While traveling down through the tree the user can discover the functions and features of
`the nodes below.
`
`Each parent node describes the set of features in the child node.
`
`Examples:
`
`Shopping = Buy Books, Buy Electronics
`Buy Electronics= Buy CD Players, Buy VCRs
`
`News= Headlines, Weather, Financial Sports
`Sports = Football, Basketball, Soccer
`Football= Football Headlines, Football ~cores, Football Odds
`Football Headlines= ESPN Football Headlines, CBS Football Headlines
`
`Feature: Context Sensitive Results
`It is important to point out how this tree concept also gives context to the search as well.
`For example, if the user just said "Amazon" from the context of the main menu then the
`user would be asked if they wanted to "buy books from Amazon" or to "buy CDs from
`Amazon" but ifthe user said the same thing from the context of the books sub-tree then
`they would be taken directly to the section where they can buy books from Amazon.
`
`Feature: User Preferences
`
`Hey Anita is a learning system. It keeps on accumulating information about how users
`interact with it and modifies its search mechanism based on users' navigational history
`and preferences.
`
`Example: If it finds that a particular user always buys books from Amazon, it will take
`him directly to "Buy Books from Amazon" when he says, "Buy Books"
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`APPENDIX A
`
`[comCreateObject]
`Creates a COM object and returns a reference pointer
`
`Parameters
`
`Return Value
`IDispatch
`
`[comDeleteObject]
`Deletes a previously created COM object
`Parameters
`var (IDispatch)
`
`[comGetProperty]
`Gets the value of the named property
`Parameters
`strPropertyName
`var(IDispatch)
`param2
`param3
`param4
`param7
`param8
`param9
`
`Return Value
`SMVar
`
`nArgCount
`param5
`paramlO
`
`paraml
`param6
`
`[cominvokeMethod]
`Invokes a method on a previously created COM object
`Parameters
`strMethodName
`var(IDispatch)
`param2
`param3
`param4
`param7
`paramB
`param9
`
`nArgCount
`param5
`paramlO
`
`paraml
`param6
`
`:1
`
`Return Value
`SMVar
`
`[comSetProperty]
`Sets the value of the named property
`Parameters
`var(IDispatch)
`
`strPropertyName
`
`NewValue
`
`[dbExec]
`Executes a SQL statement for a relational database
`Parameters
`
`param2
`param7
`param12
`
`param3
`param8
`param13
`
`param4
`param9
`param14
`Return Value
`SMVar
`
`ReturnField
`param5
`paramlO
`param15
`
`paraml
`param6
`paramll
`param16
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`[mopGetProperty]
`Gets the value of the named property
`Parameters
`strPropName
`Return Value
`String
`
`[mopNavigate]
`Navigates to a given URL
`Parameters
`
`Params=NULL Headers=NULL
`
`[mopOpenConnection]
`Opens a connection to a given web site
`Parameters
`Site=NULL
`
`Port=BO
`
`[mopRunMacro]
`Executes a previously defined macro
`Parameters
`lMacroID
`
`strStartLabel
`
`lFlags
`
`[mopSetProperty]
`Sets the value of the named property
`Parameters
`strPropName strPropVal
`
`[mopWaitForMacro]
`Waits for a given time
`Parameters
`LTimout
`
`[opAssign]
`Assigns a value
`Parameters
`type argl operator
`Return Value
`SMVar
`
`arg2
`
`[opGosub]
`Transfer control to the subroutine
`Parameters
`strLabel
`Param5
`ParamlO
`
`Paraml
`Param6
`
`Param2
`Param7
`
`Param3
`Param8
`
`Param4
`Param9
`
`[opFunctionHeader]
`Function Header statement for a code fragment
`Parameters
`Paraml
`Param6
`
`Param2
`Param7
`
`Param3
`Param8
`
`Param4
`Param9
`
`Param5
`ParamlO
`
`[opifGoto]
`Transfer of control statement
`Parameters
`
`strCondition
`
`strLabel
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`[opLoad.AndRunStateM.achine]
`Transfer control to and executes another state machine
`Parameters
`SMAppID
`
`nClearVariables
`
`strStartLabel
`
`[opNull]
`Does nothing, NULL statement
`
`[opMakeDate]
`Creates date from input values
`Parameters
`Year Month Day
`
`Hour Minute
`
`Hour Format
`
`Return Value
`Date
`
`[opMakeString]
`Makes a string from input parameters
`Parameters
`Paraml
`Param6
`Return Value
`String
`
`Param3
`Param8
`
`Param2
`Param7
`
`Param4
`Param9
`
`Param5
`ParamlO
`
`[opReturn]
`Returns control back to the calling statement
`
`[popGetPos]
`Returns the position for a given Tag
`Return Value
`%Position
`
`[popGetTagEnd]
`Finds the end position for the given tag
`Parameters
`strTag
`Return Value
`%Position
`
`dwFlags=O
`
`strErrorLabel
`
`[popSearch]
`Searches for a string in the retrieved data stream
`Parameters
`SearchString
`Return Value
`%Position
`
`lMaxPos=MAX INT
`
`dwFlags=O
`
`strErrorLabel
`
`[popSeek]
`Positions the pointer to the given offset
`Parameters
`Position
`
`strErrorLabel
`
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`[popTag]
`Creates a property with a given name
`Parameters
`Name EndString
`
`lMaxPos=MAX INT
`
`dwFlags=O
`
`strErrorLabel
`
`Return Value
`%Position
`
`[popTag2]
`Creates a property with a given name using a number of characters as
`offset
`Parameters
`Name
`Return Value
`%Position
`
`[nuFindDestinations]
`Finds destinations within the tree for a given user utterance
`Parameters
`
`[nuGetS1otVa1]
`Returns the value of a given slot for voice recognition system
`Parameters
`strSlotName Type
`Return Value
`SMVar
`
`[nuGetStr]
`Retrieves a string/utterance by the user
`Parameters
`nTimeout
`Grammar4
`Grammar9
`Grammar14
`Grammar19
`Return Value
`lStat
`
`nFlags
`Grammar5
`GrammarlO
`Grammar15
`Grammar20
`
`Grammarl
`Grammar6
`Grammarll
`Grammar16
`
`Grammar2
`Grammar?
`Grammar12
`Grammar17
`
`Grammar3
`Grammar8
`Grammar13
`Grammar18
`
`[nuLoadDestinations]
`Loads destinations for a given node in the tree
`Parameters
`LTreeID
`
`[nuMakeCall]
`Sets up all necessary initialization information and dials a phone
`number
`Parameters
`strPhoneNumber
`
`nTimeout
`
`lFlags
`
`[nuPlayDestinations]
`Plays voice files associated with a destination
`Parameters
`
`strPostMultiple
`
`strPreMultiple
`strPostSingle
`lPreSilence lPostSilence
`lFlags
`
`la-349182
`
`13
`
`

`

`43794-3000100
`Express Mail Label No. EE698244522US
`
`[nuPlayFile]
`Plays a given voice file
`Parameters
`strFilename lPreSilence lPostSilence
`
`lFlags
`
`[nuRecord]
`Records a voice file from user utterance
`Parameters
`strRecordFile
`lFlags
`
`nMaxSecs
`
`nMaxSilence strTerminators
`
`[nuRegisterMagicWord]
`Registers a word to be treated as a jump/magic word for immediate
`recognition
`Parameters
`strPhraseGrammar strGotoLabel
`
`[nuSayDate]
`Plays back the given string as a date using the given format
`Parameters
`strDate
`
`lFlags
`
`strFormat
`
`lPreSilence lPostSilence
`
`[nuSayFile]
`Plays a file (over the voice line) .
`Parameters
`strFilename lPreSilence lPostSilence
`
`lFlags
`
`[nuSayNum]
`Says a number using the supplied format.
`Parameters
`Value strFormat
`
`lPreSilence lPostSilence
`
`lFlags
`
`[nuSayPhrase]
`First tries to play a prerecorded file (if the phrase has been
`previously prerecorded) and then uses the TTS (Text To Speech) engine
`if no file exists.
`Parameters
`strPhrase
`
`lPreSilence lPostSilence
`
`[nuSetProperty]
`Passes a value along to the recognition engine and stores it in the
`given property name.
`Parameters
`strPropName strPropVal
`
`[nuSpellPhrase]
`Says the value of each character in the string. Ex. S-P-E-L-L
`Parameters
`strString
`
`lPreSilence lPostSilence
`
`lFlags
`
`[nuTransferCall]
`Makes an outgoing call to the number supplied and transfers the caller
`to that line.
`Parameters
`strNumber
`
`nTimeout
`
`la-349182
`
`14
`
`

`

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`FIG. 4
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