as United States
`a2) Patent Application Publication co) Pub. No.: US 2002/0178003 A1
`
` Gehrkeet al. (43) Pub. Date: Nov. 28, 2002
`
`
`US 20020178003A1
`
`(75)
`
`(54) METHOD AND APPARATUS FOR
`PROVIDING VOICE RECOGNITION
`SERVICE TO A WIRELESS
`COMMUNICATION DEVICE
`Inventors: James K. Gehrke, Lake in the Hills, IL
`(US); Terry Mansfield,Palatine,IT.
`(US); Richard A. Rose, Hoffman
`Estates, IL (US)
`Correspondence Address:
`MOTOROLA,INC.
`1303 EAST ALGONQUIN ROAD
`IL01/3RD
`SCHAUMBURG,IL 60196
`
`(73) Assignee: MOTOROLA, INC.
`
`(21) Appl. No.:
`(22)
`Filed:
`
`09/802,630
`Mar.9, 2001
`Publication Classification
`
`(SL)
`
`Tint. C17 eee cecccssssecsssneccseneessssneesseseees G10L 15/00
`
`(52) US. Che ce eeececseessesecssssnsceeenssnnecceesnneeeseennnnseeeees 704/246
`
`(57)
`
`ABSTRACT
`
`A wireless communication system employs a method and
`apparatus for providing voice recognition service to a wire-
`less communication device. Voice recognition information
`(e.g., a context model and voice training parameters) is
`generated by a wireless device user and stored in a memory
`(e.g., a SIM card) ofthe wireless device to form one portion
`of a voice recognition processing engine. Another portion of
`the voice recognition processing engine (e.g., a voice rec-
`ognition processor and operating software therefor) is imple-
`mented in a wireless system infrastructure of the wireless
`communication system. The wireless device transmits the
`voice recognition information to the system infrastructure
`preferably upon request for such information by the system
`infrastructure. The system infrastructure then uses both
`portions of the voice recognition processing engine to pro-
`vide voice recognition service to the wireless device andits
`user during operation of the wireless device.
`
`117
`
`119
`
`DEVICE
`
`VOICE
`RECOGNITION
`PROCESSOR
`
`MEMORY
`
`WIRELINE
`COMMUNICATION
`
`1
`
`APPLE 1041
`
`APPLE 1041
`
`1
`
`

`

`Patent Application Publication Nov. 28,2002 Sheet 1 of 4
`
`US 2002/0178003 A1
`
`117
`
`119
`
`104
`
`103 SYSTEM CONTROLLER
`
`
`VOICE
`
`RECOGNITION
`
`PROCESSOR
`
`
`100
`
`b—-——--—- ~~ —-— ~~ a
`
`FIG.
`
`1
`
`17
`
`215
`
`217.
`
`
`
`
`
`Z TRANSMITTER 7RECEIVER
` ANTENNA
`
`DUPLEXER 2035
`
`201
`
`205
`
`SWITCH/
`
`~
`FIG. 2
`
`
`
`20
`
`USER
`
`
`219 MTA
`
`
`
`2
`
`

`

`Patent Application Publication Nov. 28,2002 Sheet 2 of 4
`
`US 2002/0178003 A1
`
`409
`403
`
`
`
`WIRELESS|yoy CONTEXT VOICE
`
`
`peyice
`VERSION ID
`MODEL
`TRAINING
`
`PARAMETERS
`
`
`402
`
`
`0100 0001|SEND MESSAGE <CONJ> <PERSON>|SA G/0/T
`
`AE B/A/T
`
`DIAL <PHONE NUMBER>
`AH B/U/T
`
`
`405
`
`
`
`407
`
`401
`
`
`
`3
`
`

`

`Patent Application Publication Nov. 28,2002 Sheet 3 of 4
`
`US 2002/0178003 A1
`
`IMPLEMENT SECOND PORTION OF VOICE
`RECOGNITION PROCESSING ENGINE IN
`WIRELESS SYSTEM INFRASTRUCTURE
`
`USE BOTH FIRST AND SECOND PORTIONS
`OF VOICE RECOGNITION PROCESSING
`ENGINE TO PROVIDE VOICE RECOGNITION
`
`WIRELESS DEVICE TRANSMIT REQUEST 10 OPERATE IN
`
`FUNCTIONALITY 10 WIRELESS DEVICE
`
`STORE VOICE RECOGNITION
`INFORMATION SPECIFIC 10 WIRELESS
`DEVICE USER IN MEMORY OF
`
`
`
`
`
`
`
`
`WIRELESS SYSTEM TO WIRELESS
`SYSTEM INFRASTRUCTURE
`
`
`
`
`RECEIVE REQUEST FOR VOICE
`RECOGNITION INFORMATION FROM
`
`
`WIRELESS SYSTEM INFRASTRUCTURE
`
`
`
`TRANSMIT VOICE RECOGNITION
`INFORMATION TO WIRELESS SYSTEM
`
`INFRASTRUCTURE
`
`RECEIVE VOICE INSTRUCTION FROM
`WIRELESS DEVICE USER
`
`
`
`
`
`
`WIRELESS SYSTEM INFRASTRUCTURE
`FOR EXECUTION PURSUANT TO VOICE
`
`
`RECOGNITION INFORMATION
`
`4
`
`

`

`Patent Application Publication Nov. 28,2002 Sheet 4 of 4
`
`US 2002/0178003 Al
`
`START
`
`701
`
`RECEIVE REQUEST 10 OPERATE IN
`WIRELESS SYSTEM FROM WIRELESS DEVICE
`
`703
`
`705
`
`
`
`®
`
`
`
`NO
`
`
`
`VOICE RECOGNITION
`INFORMATION ASSOCTATED WITH
`WIRELESS DEVICE PRESENTLY STORED
`IN WIRELESS SYSTEM
`INFRASTRUCTURE?
`
`
`
`
`
`
`
` PRESENT
`CURRENT?
`
`709
`
`711
`
`713
`
`
`
`VERSION OF STORED VOICE
`
`RECOGNITION INFORMATION
`
`
`REQUEST TRANSMISSION OF
`VOICE RECOGNITION INFORMATION
`
`
`RECEIVE NEW/UPDATED VOICE
`
`RECOGNITION INFORMATION FROM
`WIRELESS DEVICE
`
`
`STORE RECEIVED VOICE
`RECOGNITION INFORMATION
`
`Pp
`
`715
`
`RECEIVE DATA MESSAGE CONTAINING
`VOICE INSTRUCTION FROM
`WIRELESS DEVICE
`
`717
`DETERMINE INSTRUCTION CONTAINED IN
`DATA MESSAGE BASED ON STORED
`VOICE RECOGNITION INFORMATION
`
`719
`GENERATE DATA MESSAGE REPRESENTATIVE
`OF DETERMINED INSTRUCTION TO
`FACILITATE EXECUTION OF INSTRUCTION
`
`700
`
`ao
`
`724
`
`FIC.
`
`7
`
`oa
`
`5
`
`

`

`US 2002/0178003 Al
`
`Nov.28, 2002
`
`METHOD AND APPARATUS FOR PROVIDING
`VOICE RECOGNITION SERVICE TO A WIRELESS
`COMMUNICATION DEVICE
`
`FIELD OF THE INVENTION
`
`[0001] The present invention relates generally to wireless
`communication systems and, in particular, to a method and
`apparatus for providing voice recognition service to a wire-
`less communication device operating in a wireless commu-
`nication system.
`
`BACKGROUND OF THE INVENTION
`
`[0002] Wireless communication systems are well known.
`Such systems include, but are not limited to, cellular com-
`munication systems operating in accordance with various
`promulgated radio access technologies, such as Advanced
`Mobile Phone Service (AMPS), Narrowband Advanced
`Mobile Phone Service (NAMPS), United States Digital
`Cellular (USDC), Global Systems for Mobile Communica-
`tions (GSM), and Code Division Multiple Access (CDMA),
`personal communication systems (PCS) operating in accor-
`dance with various radio access technologies, such as
`CDMA,and multi-service systems, such as the “MOTORO-
`LA”’“iDEN” system, that provide many other services in
`addition to person-to-person calling, such as packet data,
`paging, short message service, and wireless Internet access.
`Many PCSoperators are also entering the wireless Internet
`access arena.
`
`[0003] To help facilitate hands-free operation of wireless
`communication devices, such as radiotelephones or two-way
`radios, operating on such systems, some systems and/or
`communication devices provide voice recognition service
`and/or functionality. To provide voice recognition capability,
`a hardware and software voice recognition processing
`engine, such as the IBM Voice Type Application Factory for
`Windows voice recognition processor and accompanying
`software that is commercially available from International
`Business Machines Corporation of Armonk, N.Y., must be
`trained to recognize commands or instructions spoken by
`each user tor which the system or device will be providing
`voice recognition service. Typically, a user-defined vocabu-
`lary (commonly referred to as a “context model”) is estab-
`lished and associated with the user’s speech during a setup
`phase of the voice recognition engine. The size or scope of
`the context modcl that can be supported depends upon how
`the voice recognition engine is implemented.
`
`In the prior art, voice recognition in wireless sys-
`[0004]
`temsis either completely infrastructure-based or completely
`device-based. Thatis,all the voice recognition hardware and
`software resides either in the wireless system infrastructure
`(e.g.,
`in a mobile switching center (MSC) of a cellular
`system) or in the wireless communication device itself.
`When voice recognition is implemented completely in the
`system infrastructure, a high power processing system may
`be employed that is capable of supporting relatively large
`context models for individual wireless device users. Since
`
`the wireless system infrastructure is shared by manyusers or
`subscribers, the cost of providing a high power voice rec-
`ognition processing system is typically recovered through
`incremental service fees charged to many device users.
`Therefore, each user incurs a relatively small expense for
`voice recognition service.
`
`[0005] On the other hand, incorporating a high perfor-
`mance voice recognition processing system (processor and
`memorycapacity) directly into a wireless deviceis typically
`cost-prohibitive. Consequently, lower powervoice recogni-
`tion processing systems are typically incorporated in wire-
`less devices. Such lower power voice recognition systems
`are costly enough (typically ten to twenty percent (10-20%)
`of the cost of the wireless device for the additional memory
`and computational power), reduce battery life, and only
`support a very limited context modelor instruction set. For
`example, a voice recognition system completely incorpo-
`rated in a wireless device typically only facilitates telephone
`calls based on a single format, such as speaking the digits of
`a target telephone number or speaking a moderate number
`(e.g., ten to twenty) of voice-recognizable sound signatures
`(c.g., names) that may be used to represent specific target
`telephone numbers. When sound signatures are accommo-
`dated, each sound signature is identified during voice rec-
`ognilion training and is associated wilh a target telephone
`numberthat is entered into and stored by the wireless device.
`Once the voice recognition system is trained, the user can
`say the nameoridentity of the stored sound signature and an
`instruction from a small instruction set (which quite likely
`includes only a “Call”instruction). For example, the voice
`recognition system, when trained, may recognize “Call
`[Target Name from Stored Set]”. The system, whentrained,
`may also recognize the numbers “Zero” through “Nine” to
`facilitate digit dialing, but that is about the extent of the
`voice recognition service provided by completely device-
`based voice recognition systems due to the wireless device’s
`cost-limited processing capabilities.
`
`[0006] Although each of the two aforementioned voice
`recognition system implementations provides at least some
`voice recognition capability for wireless device users, the
`two implementations suffer from certain undesirable limi-
`tations. For example, although the completely infrastruc-
`ture-based voice recognition system supports a large context
`model for each wireless device user, voice recognition may
`be used by a wireless device user only when the user is
`operating his or her wireless device in the wireless system
`containing the user’s context model. Since the voice recog-
`nition system is completely infrastructure-based, all
`the
`hardware and software, including the context models and
`any user-specific training parameters, are stored in infra-
`structure memory(e.g., in a homelocation register (HLR)or
`some other database associated with the voice recognition
`system). Thus,if a wireless device user roamsto a different
`wireless system, the user cannot use the voice recognition
`feature cven though the new system may support voice
`recognition, unless the user goes through the process of
`training the newvoice recognition system and storing his or
`her context model in the new system. A completely device-
`based voice recognition system enables voice recognition
`functionality to travel with the device, but at
`increased
`device cost and with much more limited voice recognition
`capabilities as compared to an infrastructure-based system.
`
`[0007] Therefore, a need exists for a method and apparatus
`for providing voice recognition service to a wireless com-
`munication device that provide the benefits of both com-
`pletely infrastructure-based and completely device-based
`voice recognition systems, without their respective disad-
`vantages.
`
`6
`
`

`

`US 2002/0178003 Al
`
`Nov.28, 2002
`
`BRIEF DESCRIPTION OF THE DRAWINGS
`
`[0008] FIG. 1 is a block diagram of a wireless commu-
`nication system in accordance with the present invention.
`
`[0009] FIG. 2 is a block diagram of a wireless commu-
`nication device in accordance with a preferred embodiment
`of the present invention.
`
`[0010] FIG. 3 is a block diagram of an arrangement for
`generating and storing voice recognition information in
`accordance with a preferred embodiment of the present
`invention.
`
`(0011] FIG. 4 illustrates an exemplary voice recognition
`information database stored in a memory of a wireless
`system infrastructure in accordance with a preferred
`embodiment of the present invention.
`
`the present invention.
`
`[0013] FIG.6 is a logic flow diagram of steps executed by
`a wireless communication device to enable a wireless sys-
`tem infrastructure to provide voice recognition service to the
`wireless communication device in accordance with a pre-
`ferred embodimentof the present invention.
`
`stored voice recognition information to the infrastructure to
`enable the infrastructure to provide voice recognition service
`to the wireless device. In addition, by only storing a small
`portion of the overall voice recognition processing engine in
`the wireless device,
`the present invention eliminates the
`need for a high power processor in the wireless device to
`support voice recognition functionality. Further, by dividing
`the voice recognition processing engine between the wire-
`less device and the wireless system infrastructure,
`the
`present invention facilitates the use of a much more expan-
`sive user-defined vocabulary (e.g., context model) than does
`wireless device-based voice recognition systems because the
`voice recognition system of the present invention is much
`less processor-limited due to incorporation of the voice
`recognition processor in the infrastructure rather than the
`wireless device. Thus, the present invention provides voice
`recognition functionality that follows a wireless communi-
`[0012] FIG.5is a logic flow diagramof steps executed to
`cation device whereverit goes by utilizing a wireless device
`provide voice recognition functionality to a wireless com-
`that maintains its own voice recognition information (c.g.,
`munication device in accordance with one embodiment of
`context model) andutilizing a wireless system infrastructure
`that maintains the high performance processing necessary to
`facilitate voice recognition service.
`[0017] The present invention can be more fully understood
`with reference to FIGS. 1-7, in which like reference numer-
`als designate like items. FIG. 1 is a block diagram of a
`wireless communication system 100 in accordance with the
`present invention. The wireless communication system 100
`[0014] FIG.7is a logic flow diagram of steps executed by
`includes a wireless system infrastructure 101 and one or
`a wireless system infrastructure to provide voice recognition
`service to a wireless communication device in accordance
`more wireless communication devices 103, 104 (two
`shown). The wireless communication system may be any
`form of wireless system,
`including without limitation, a
`cellular communication system, a PCS system, a multi-
`service system, such as the “MOTOROLA”iDEN”system,
`a two-way radio system, a paging system, a wireless dala
`system, or any other wireless system that supports voice
`recognition as herein described.
`[0018] The wireless system infrastructure 101 includes
`one or more base transceiver sites (BTSs) 106, 107 (two
`shown), a system controller 109, a local or wide area
`network (LAN/WAN) 111 , and one or more memory
`devices 113 that may be separately coupled to the LAN/
`WAN 111 as shownor be distributed in the various infra-
`
`with a preferred embodimentof the present invention.
`
`DETAILED DESCRIPTION OF A PREFERRED
`EMBODIMENT
`
`invention encompasses a
`the present
`[0015] Generally,
`method and apparatus for providing voice recognition ser-
`vice to a wireless communication device. Voice recognition
`information(e.g., a context model and voice training param-
`eters) is generated by a wireless communication device user
`and stored in a memory (e.g., a smart or SIM card) of the
`wireless communication device to form one portion of a
`voice recognition processing engine. Another portion of the
`voice recognition processing engine (e.g., a voice recogni-
`tion processor and operating software therefor) is imple-
`mented in a wireless system infrastructure. The wireless
`communication device transmits the voice recognition infor-
`mation to the wireless system infrastructure preferably upon
`request for such information by the wireless system infra-
`structure. The wireless system infrastructure then uses both
`portions of the voice recognition processing engine to pro-
`vide voice recognition service to the wireless communica-
`tion device and its user during operation of the wireless
`communication device.
`
`[0016] By providing voice recognition functionalityto the
`wireless communication device in this manner, the present
`invention enables voice recognition to be used by a wireless
`communication device on any system that has infrastructure-
`based voice recognition capability, withoul requiring a new
`context model
`to be generated prior to accessing each
`system as is required in the prior art. Thus, when a wireless
`communication device roams from its home system to
`another
`system that
`supports voice recognition (e.g.,
`includes an infrastructure-based voice recognition proces-
`sor), the wireless device need only transmit its previously
`
`structure components (such as memory device 115 in the
`system controller 109). Each BTS 106, 107 is a conventional
`BTSthat includes one or more base transceiverstations that
`
`preferably transmit and receive digital messages over a
`respective wireless communication link 117, 119 (e.g., radio
`frequency (RF) channel). The system controller 109 is
`operably coupled to each BTS 106, 107 via the LAN/WAN
`111 and preferably includes a voice recognition processor
`121 and optional memory 115. The system controller 109 is
`preferably a controller that coordinates or controls commu-
`nication within the entire wireless system 100. For example,
`the system controller 109 may be a central controller of a
`two-way trunked radio system, a mobile switching center
`(MSC)of a cellular, PCS or multi-service system, a dispatch
`application processor (DAP)of a multi-service system, such
`as the “iDEN”system,or a base station controller in a single
`base station system. The voice recognition processor 121
`preferably comprises a microprocessor or another other
`suitable processor that operates in accordance with opera-
`tional or programming instructions (e.g., a software engine)
`stored in memory device 115 or some other memory device
`113. Alternatively, the voice recognition processor 121 may
`
`7
`
`

`

`US 2002/0178003 Al
`
`Nov.28, 2002
`
`be another microprocessor, a microcontroller, a digital signal
`processor (DSP), a state machine, logic circuitry, or any
`other device or group of devices that processes information
`based on operational or programming instructions. One of
`ordinary skill in the art will recognize that when the voice
`recognition processor 121 has one or more of its functions
`performed by a state machineorlogic circuitry, the memory
`115 containing the corresponding operational instructions
`may be embeddedwithin the state machine orlogiccircuitry.
`In the simplest systems, the voice recognition processor 121
`mayreside in a personal computer and the voice recognition
`software engine may run in the background on the personal
`computer, provided that the microprocessor and the memory
`115 are appropriately sized.
`
`[0019] The memorydevices 113, 115 may include one of
`more of various digital storage media, such as any form of
`random access memory (RAM), any form of read only
`memory (ROM), a hard disk, or any other medium for
`storing digital
`information. As mentioned above,
`the
`memory 115 preferably stores operational instructions that,
`when executed, cause the voice recognition processor 121 to
`perform its particular functions. The operations performed
`by the voice recognition processor 121 and the rest of the
`elements of the wireless communication system 100 are
`described in detail below.
`
`[0020] An electronic device 123 may be coupled to the
`wireless system’s LAN/WAN 111 via an appropriate com-
`munication link 125, such asthe Internet (e.g., via a dial-up
`telephoneline, a digital subscriber line (DSL), an integrated
`digital systems network (ISDN) connection, or a cable
`connection) or some other wide area Internet protocol (IP)
`network. Such an electronic device 123 may be an Internet
`appliance, an IP addressable garage door opener, an IP
`addressable television or other entertainment device, or any
`other electronic device that may be operated or controlled
`remotely in accordance with digital or analog control signals
`issued by the wireless system infrastructure 101. As
`described in detail below, such control signals are generated
`in response to voice commandsissuedby a userof a wireless
`communication device 103. One or more wireline commu-
`nication devices 127 (one shown), such as a telephone, an
`audio interface to a computer, a data terminal, or a set top
`box, and/or any other means to send and receive audio
`commands, may also be coupled to the wircless system’s
`LAN/WAN 111 via an appropriate communication link 129
`(e.g., via the public switched telephone network (PSTN), the
`Internet, or some other network) to facilitate a communica-
`tion between a user of the wireline device 127 and the user
`of the wireless device 103 having voice recognition func-
`tionality.
`[0021] A preferred embodiment of a wireless communi-
`cation device 103 having voice recognition functionality in
`accordance with the present invention is illustrated in block
`diagram form in FIG. 2. The wireless device 103 includes,
`inter alia, an antenna 201, an antenna switch/duplexer 203,
`a transmitter 205, a receiver 207, a processor 209, memory
`211 for storing operating instructions executable by the
`processor 209 and for storing other information (e.g., voice
`recognition information and wireless device identification
`information) as described in more detail below, a user
`interface 213, a display 215, and a data port 217.
`[0022] The wireless device 103 may be any two-way
`communication device capable of communicating in a wire-
`
`less communication system 100. Thus, the wireless device
`103 may be a two-wayradio, a radiotelephone, a two-way
`pager, a wireless data terminal, a laptop computer, a palmtop
`computer, a personal digital assistant (PDA), or any other
`two-way device having wireless capabilities.
`
`[0023] The antenna 201 may include a single antenna
`element or multiple antenna elements (e.g., an array). The
`antenna switch/duplexer 203 may be a known PIN diode or
`other switch to implement an antenna switch for half-duplex
`operation or a knownarrangementof filters to implement a
`duplexer for full duplex operation.
`
`{0024] The transmitter 205 and the receiver 207 include
`appropriate circuitry to enable digital or analog transmis-
`sions over a wireless communication link 117. For example,
`the transmitter 205 and the receiver 207 may be imple-
`mented as an appropriate wireless modem, or as conven-
`tional transmitting and receiving components in a two-way
`wireless device. In the eventthat the transmitter 205 and the
`
`receiver 207 are implemented as a wireless modem, the
`wireless modem may be located on a Personal Computer
`Memory Card International Association (PCMCIA) card
`that may be inserted into a computing device, such as a
`laptop or palmtop computer or PDA,to facilitate wireless
`communications. Wireless modemsare well known; thus no
`further discussion of them will be presented except
`to
`facilitate an understanding of the present invention.
`
`[0025] The processor 209 may be a microprocessor, a
`microcontroller, a digital signal processor (DSP), a state
`machine, logic circuitry, or any other device or group of
`devices that processes information based on operational or
`programming instructions. One of ordinary skill in the art
`will recognize that when the processor 209 has one or more
`of its functions performed by a state machine or logic
`circuitry, the memory containing the corresponding opera-
`tional
`instructions may be embedded within the state
`machine or logic circuitry. The memory 211 may include
`one of more of various digital storage media, such as RAM,
`ROM,flash memory, a smart card, a subscriber identity
`module (SIM) card, a floppy disk, a compact disk read only
`memory (CD-ROM), a hard disk drive, a digital versatile
`disk (DVD), flash memory or any other medium ordevice(s)
`for storing digital information. Thus, the memory 211 may
`be embedded within the wireless device 103, may be
`inserted into or otherwise operably coupled to the wireless
`device 103 bythe wireless device user, or both (e.g., certain
`information may be stored in embedded ROM, while other
`information may be stored on an insertable SIM card). As
`mentioned above, the memory 211 preferably stores oper-
`ating instructions that, when executed, cause the processor
`209 to perform its particular functions. In addition,
`the
`memory 211 preferably includes one or more memory
`locations 219, 220 (¢.g., registers or sets of registers) that
`store a small portion of a voice recognition processing
`engine, as described in detail below, to enable the wireless
`device to reccive voice recognition service in multiple
`wireless systems. The operations performed bythe proces-
`sor 209 and the rest of the elements of the wireless com-
`munication device 103 are described in detail below.
`
`[0026] The userinterface 213 preferably includes a micro-
`phone to receive voice instructions issued by the wireless
`device user and may also include other conventional user
`interface elements, such as a keyboard, a keypad, a mouse
`
`8
`
`

`

`US 2002/0178003 Al
`
`Nov.28, 2002
`
`or rollerball, a thumbwheel, a touchscreen, a touchpad, or
`any other device for allowing the user of the wireless device
`103 to make a selection or instruct the device 103 to take
`
`some action. The display 215 may be any conventional
`cathode ray tube (CRT) display,
`liquid crystal display
`(LCD), or other display. In addition, when audio display is
`desired, the display 215 preferably includes an audio display
`device, such as one or more speakers. Although not shown
`in FIG. 2, the wireless device 103 may further include an
`alerting device, such as a tone generator that produces an
`audiblealert or an electrically actuatable vibration device, to
`alert the device that a message or a communication has been
`received that may require the user’s attention. The data port
`217 preferably comprises a conventional data port, such as
`a wired or wireless serial port or equivalent.
`[0027] FIG. 3 is a block diagram of an arrangement for
`generating voice recognition information and storing the
`voice recognition information in the wireless communica-
`tion device memory 211 in accordance with a preferred
`embodiment of the present
`invention. As illustrated,
`the
`arrangement includes a voice recognition information (VRI)
`generation node 301 and a communication link 303 coupling
`the VRI generation node 301 to the wireless device memory
`211 on orin which the voice recognition informationis to be
`stored. When the voice recognition information is to be
`stored in embedded memory211 of the wireless device 103,
`the communication link 303 is coupled to the data port 215
`of the wireless device 103. On the other hand, when the
`voice recognition information is to be stored in or on a
`memory device 211 that
`is insertable into or otherwise
`operably coupleable to the wireless device 103, the com-
`munication link 303 is coupled to an appropriate drive 304
`for writing data to the particular memory device 211. The
`VRI generation node 301 is preferably coupled by an
`appropriate communication link 305 (e.g., the Internet) to
`the LAN/WAN (e.g., LAN/WAN 111) of the wireless
`device’s home wireless system infrastructure 101 to allow
`the VRI generation node 301 to communicate with the voice
`recognition processor 121 as described in more detail below.
`[0028] The VRI generation node 301 preferably comprises
`a computer (e.g., a personal computer, a workstation, a
`laptop or notebook computer, or a local server) or similar
`data device executing a software program that provides a
`user-friendly graphical user interface (GUI) to enable the
`wireless device user to generate unique voice recognition
`information to be used in providing voice recognition func-
`tionality to the wireless device 103. In a preferred embadi-
`ment, the voice recognition information includes a context
`model and voice training parameters. The context model is
`a user-defined, unique, personal vocabulary that includes a
`set of instructions and operandsthat are to be automatically
`recognized by the infrastructure’s voice recognition proces-
`sor 121 upon receipt of an instruction and operand(s) from
`the wireless device 103. The context model may include
`instructions that, inter alia, allow the user of the wireless
`device to control operation of the wireless device 103 (e.g.,
`turn the device 103 off, or turn features of the device 103 on
`and off), control operation of a remotely located electronic
`device 123 (e.g., control operation of the wireless device
`user’s residential garage door opener, sprinkler system,
`security system, or other [P-addressed device), retrieve
`information stored in the wireless device 103 (e.g., retrieve
`stored telephone numbers or other contact
`information),
`establish a communication in a wireless communication
`
`initiate a telephone call with one or more
`system (e.g.,
`wireless and/or wireline communication devices 104, 127),
`and control, to some extent, operationof the infrastructure’s
`voice recognition processor 121 (e.g., activate or wake-up
`the voice recognition processor 121).
`
`[0029] An exemplary context model may include the
`following instruction set and operands:
`
`
`
`<Action>::= SEND MESSAGE<conj> <Person>
`| DIAL <PhoneNumber>
`| CALL <Person> <conj> <Path>
`| PLAY MESSAGE<conj> <Person>
`| OPEN <conj> <Doors> DOOR
`| CLOSE <conj> <Doors> DOOR
`| DISPLAY MESSAGES
`| CANCEL
`| TURN ON <Devices>
`| TURN OFF <Devices>
`| STANDBY MODE
`<conj>::= ON
`TO
`FROM
`ON THE
`THE
`<PhoneNumber>::= <Singles> <Singles> <Singles> <Singles> <Singles>
`<Singles> <Singles> <Singles> <Singles> <Singles> <Singles>
`<Singles>::= OH
`ZERO
`ONE
`TWO
`THREE
`FOUR
`FIVE
`SIX
`SEVEN
`LIGHT
`NINE
`HUNDRED
`<Person>::= MOM
`| DAD
`| PIZZA
`| BABY SITTER
`| [Other Names, Nicknames or Places]
`<Path>::= RADIO
`| CELL PHONE
`| PHONE
`<Doors>::= FRONT
`| GARAGE
`| LEFT GARAGE
`| RIGHT GARAGE
`<Devices>::= SECURITY SYSTEM
`| OVEN
`| SPRINKLER SYSTEM
`
`[0030] One of ordinary skill in the art will recognize and
`appreciate that various other context models may be readily
`generated to coincide with the particular requirementsof the
`wireless device user.
`
`In addition to a context model, the voice recogni-
`[0031]
`tion information preferably includes training parameters
`related to a voice of the wireless device user. The voice
`
`training parameters include data for adapting the infrastruc-
`ture’s voice recognilion processor to the voice characteris-
`tics of the wireless device user. For example,
`training
`parameters may include the following phonemesrepresent-
`
`9
`
`

`

`US 2002/0178003 Al
`
`Nov.28, 2002
`
`ing English sounds in accordance with IBM’s Voice Type
`Application Factory for Windowsor anyother user-defined
`phonemes:
`
`wireless device’s audio processing, and providesthe training
`parameters to the VRI generation node 301 via the infra-
`structure’s LAN/WAN 111 and communication link 305.
`
`AA
`AO
`AY
`CH
`DH
`EY
`GD
`XxX
`K
`M
`Ow
`PD
`SH
`TD
`UH
`Ww
`7H
`
`cfost
`b/ough/t
`bfi/te
`/chfurch
`/th/ey
`b/aist
`ta/g/
`ros/es/
`{k/ick
`/m/om
`bfoa/t
`shi/p/
`/sh/oe
`se/t/
`b/oofk
`/w/et
`mea/s/ure
`
`AE
`AX
`B
`D
`EH
`F
`Till
`IY
`KD
`N
`OY
`R
`SIL
`TH
`UW
`Y
`
`b/ast
`th/e/
`/ofob
`/dfad
`b/eft
`/ffire
`fh/ay
`b/ea/t
`comi/c/
`/nfon
`b/oy/
`it/ed
`(silence)
`/thfief
`b/oo/t
`fy/et
`
`AH
`AXR
`BD
`DD
`ER
`G
`Til
`JH
`L
`NG
`P
`Ss
`T
`TS
`Vv
`Z
`
`b/u/t
`summ/er/
`tu/bje
`delete/d/
`bfir/d
`/g/ag
`b/ift
`/jfadge
`fed
`si/ng/
`{p/op
`/sfis
`it/o
`i/ts/
`iwiery
`/z/oo
`
`‘Training parameters may additionally include
`[0032]
`modifications or corrections to such phonemes to account
`for (a) dialect,
`inflection, or other characteristics of the
`wireless device user’s voice, (b) processing (¢.g., speech
`encoding) performed by the wireless device 103to facilitate
`transmission over the wireless link 117, and/or (c) audio-
`modifying characteristics of the wireless link 117itself. For
`example, the training parameters may include the frequency
`ranges associated with various individuals in accordance
`with the well-known Markov speech models to enable the
`voice recognition processor to optimize performance based
`on the gender, age, or particular speech patterns of the
`wireless device user. Alternatively or additionally, the train-
`ing parameters mayinclude correction factors to account for
`the audio characteristics of the wireless link 117 or speech
`encoding performed by the wireless device 103 to obtain a
`desired transmission quality. For example, correction factors
`may be used to modify the Markov speech models to match
`the speech models to the characteristics of the sound signa-
`ture (e.g., phonemes) of the wireless device user as such
`sound signature is actually processed by the wireless device
`103 and received over the wireless link 117.
`
`the wireless device
`In a preferred embodiment,
`[0033]
`user uses the VRI generation node 301 and the wireless
`device 103 to generate his or her unique voice recognition
`information and store the generated voice recognition infor-
`mation in one