Source: http://www.google.com/patents/US8005668?ie=ISO-8859-1&dq=5319712
Timestamp: 2015-07-02 02:14:51
Document Index: 430436071

Matched Legal Cases: ['art 200', 'art 300', 'art 300', 'art 200', 'art 400', 'art 400', 'art 300', 'art 500', 'art 400', 'art 500', 'art 400', 'art 300', 'art 300', 'art 500']

Patent US8005668 - Adaptive confidence thresholds in telematics system speech recognition - Google PatentsSearch Images Maps Play YouTube News Gmail Drive More »Sign inAdvanced Patent SearchPatentsA method of configuring a speech recognition unit in a vehicle. The method includes receiving a noise error from the speech recognition unit responsive to a user voice command and reducing a confidence threshold for an appropriate grammar set responsive to the received noise error....http://www.google.com/patents/US8005668?utm_source=gb-gplus-sharePatent US8005668 - Adaptive confidence thresholds in telematics system speech recognitionAdvanced Patent SearchPublication numberUS8005668 B2Publication typeGrantApplication numberUS 10/946,887Publication dateAug 23, 2011Filing dateSep 22, 2004Priority dateSep 22, 2004Fee statusPaidAlso published asUS20060074651Publication number10946887, 946887, US 8005668 B2, US 8005668B2, US-B2-8005668, US8005668 B2, US8005668B2InventorsUma ArunOriginal AssigneeGeneral Motors LlcExport CitationBiBTeX, EndNote, RefManPatent Citations (28), Non-Patent Citations (1), Referenced by (5), Classifications (6), Legal Events (11) External Links: USPTO, USPTO Assignment, EspacenetAdaptive confidence thresholds in telematics system speech recognition
US 8005668 B2Abstract
A method of configuring a speech recognition unit in a vehicle. The method includes receiving a noise error from the speech recognition unit responsive to a user voice command and reducing a confidence threshold for an appropriate grammar set responsive to the received noise error.
1. A method of configuring a speech recognition unit in a vehicle, the method comprising:
receiving a noise error from the speech recognition unit responsive to a user voice command; and
carrying out at least one iteration of the following steps:
reducing a confidence threshold for an appropriate grammar set responsive to the received noise error; and
re-attempting speech recognition in the vehicle using the reduced confidence threshold;
wherein the reducing and re-attempting steps further comprise, during at least one iteration, the steps of storing the voice command prior to the reducing step and then, after the reducing step, attempting speech recognition in the vehicle on the stored voice command using the reduced confidence threshold.
announcing an advisory message to a user responsive to the reduction of the confidence threshold.
3. The method of claim 1, wherein reducing a confidence threshold comprises:
retrieving a current confidence threshold responsive to the received noise error;
determining whether the current confidence threshold equals a minimum confidence threshold; and
reducing the current confidence threshold by a preset amount based on the determination.
4. The method of claim 3, wherein the confidence threshold is reduced by the preset amount two or more times responsive to at least two or more respective received noise errors.
5. The method of claim 1, wherein the step of carrying out at least one iteration of the reducing and re-attempting steps further comprises:
announcing a noise reduction advisory message to a user responsive to the received noise error; and
receiving a second noise error from the speech recognition unit responsive to a repeated user voice command,
wherein the repeated user voice command is received following the noise reduction advisory message, and
wherein the reducing a confidence threshold for an appropriate grammar set is responsive to the received second noise error.
6. The method of claim 5, wherein reducing a confidence threshold is responsive to announcing more than one noise reduction advisory messages during a speech recognition session.
7. The method of claim 5, wherein the step of carrying out at least one iteration of the reducing and re-attempting steps further comprises:
storing the repeated user voice command in the telematics unit; and
attempting to recognize the stored repeated user voice command at the speech recognition unit after the confidence threshold is reduced.
8. The method of claim 7, wherein the step of carrying out at least one iteration of the reducing and re-attempting steps further comprises:
reducing a confidence threshold for the appropriate grammer set responsive to a third received noise error, wherein the third received noise error is responsive to the attempting to recognize the stored user voice command; and
attempting to recognize the stored repeated user voice command at the speech recognition unit after the confidence threshold is reduced twice.
9. A method of configuring a speech recognition unit in a vehicle, the method comprising:
reducing a confidence threshold for an appropriate grammar set responsive to the received noise error, wherein reducing a confidence threshold comprises:
determining whether the current confidence threshold equals a predetermined minimum confidence threshold; and
reducing the current confidence threshold by a preset amount based on the determination;
wherein the confidence threshold is reduced by the preset amount two or more times responsive to at least two or more respective received noise errors; and
wherein the confidence threshold is reduced by the preset amount until the current confidence threshold equals the predetermined minimum confidence threshold.
10. The method of claim 9, wherein the re-attempting step further comprises attempting speech recognition on a voice command stored prior to the preceding reducing step.
11. A method of configuring a speech recognition unit in a vehicle, the method comprising:
receiving a noise error from the speech recognition unit responsive to a user voice command;
resetting the confidence threshold in response to an ignition event.
12. The system of claim 11, wherein the ignition event comprises the vehicle being turned off.
13. A system for configuring a speech recognition unit in a vehicle, the system comprising:
means for receiving a noise error from the speech recognition unit responsive to a user voice command; and
means for iteratively reducing a confidence threshold for an appropriate grammar set responsive to the received noise error and re-attempting speech recognition in the vehicle of a voice command using the reduced confidence threshold, wherein the means for iteratively reducing a confidence threshold and re-attempting speech recognition further comprises means for storing the voice command prior to reducing the confidence threshold and means for attempting speech recognition in the vehicle on the stored voice command using the reduced confidence threshold;
wherein the means for receiving a noise error and the means for iteratively reducing a confidence threshold each comprise a processor that executes computer programming that is stored in memory in the vehicle.
means for announcing an advisory message to a user responsive to the reduction of the confidence threshold.
15. The system of claim 13, wherein the means for reducing a confidence threshold comprises:
means for retrieving a current confidence threshold responsive to the received noise error;
means for determining whether the current confidence equals a minimum confidence threshold; and
means for reducing the current confidence threshold by a preset amount based on the determination.
16. The system of claim 13, wherein the means for iteratively reducing and re-attempting further comprises:
means for storing a repeated user voice command in the telematics unit; and
means for attempting to recognize the stored repeated user voice command at the speech recognition unit after the confidence threshold is reduced.
17. A system for configuring a speech recognition unit in a vehicle, the system comprising:
means for receiving a noise error from the speech recognition unit responsive to a user voice command;
means for reducing a confidence threshold for an appropriate grammar set responsive to the received noise error; and
means for resetting the confidence threshold in response to an ignition event;
wherein the means for receiving a noise error, the means for reducing a confidence threshold, and the means for resetting the confidence threshold each comprise a processor that executes computer programming that is stored in memory in the vehicle. Description
This invention relates generally to a telematics system speech recognition system. In particular, the invention relates to a method, system and computer usable medium for dynamically adapting the confidence thresholds for speech recognition in a mobile vehicle.
The opportunity to personalize features in a mobile vehicle is ever increasing as the automobile is being transformed into a communications and entertainment platform as well as a transportation platform. Many new American cars will be installed with some type of telematics unit to provide wireless communication and location-based services. These services may be accessed through interfaces such as voice-recognition computer applications, touch-screen computer displays, computer keyboards, or a series of buttons on the dashboard or console of a vehicle.
For example, traffic and driving directions may be accessed through a voice portal that uses incoming number identification to generate location information based on the area code or prefix of the phone number, or to access location information stored in a user's profile associated with the phone number. Users may be prompted to enter more details through a voice interface.
Speech recognition systems are used within vehicles with telematics units for various functions. The speech recognition unit receives, recognizes and generates responses to commands, such as “Call,” “Dial,” “Locate,” and “Generate map.”
Confidence thresholds are preset in the voice-recognition application software that is installed in the telematics unit. The confidence threshold establishes the minimum acceptable confidence that a spoken word or sentence is correlated with a stored vocabulary in the system. The optimum confidence threshold is set after testing utterances from many people with different dialects under different noise level conditions to obtain statistically significant threshold levels. Different optimum threshold values may be set for different grammar sets to be applicable uniformly across all noise conditions and dialects. The grammar set is associated with a command function and includes all the words that are likely to be uttered during a speech task related to that command function.
Since the optimum threshold values are statistical, they do not meet the needs of everyone in different noise conditions. The threshold values, which are sufficient in low noise conditions, are sometimes inadequate in high noise conditions for a user. The threshold values are sometimes inadequate based on the volume of a particular user. In that case, the speech recognition system is unable, with a confidence greater than the default confidence threshold level, to correlate a spoken phrase with the stored phrases in the speech recognition system. When the user voice command is not recognized because of a low signal-to-noise ratio, the telematics unit advises the user to reduce the ambient noise level. If the user is able to reduce the noise level in the car, for example, by rolling up the vehicle windows, the voice-recognition application may recognize the voice command that is repeated after the noise is reduced. If the voice-recognition application is unable to recognize the command after several attempts, the speech recognition session ends with an unrecognized-command error. The telematics unit advises the user that the voice command was unrecognized. In this case, the user contacts an advisor to provide the desired service.
It is desirable to adjust the confidence threshold level during a speech recognition session, if the signal to noise level prevents the spoken command from being recognized within the default confidence threshold level. It is further desirable to reset to the default confidence threshold level after the vehicle is turned off.
One aspect of the present invention provides a method of configuring a speech recognition unit in a vehicle. The method includes receiving a noise error from the speech recognition unit responsive to a user voice command and reducing a confidence threshold for an appropriate grammar set responsive to the received noise error.
Another aspect of the present invention provides a system for configuring a speech recognition unit in a vehicle. The system includes means for receiving a noise error from the speech recognition unit responsive to a user voice command and means for reducing a confidence threshold for an appropriate grammar set responsive to the received noise error.
A third aspect of the present invention provides a computer readable medium storing a computer program which includes computer readable code for receiving a noise error from the speech recognition unit responsive to a user voice command and for reducing a confidence threshold for an appropriate grammar set responsive to the received noise error.
FIG. 2 illustrates a flowchart representative of a first embodiment of a method of configuring a speech recognition unit in a vehicle in accordance with the present invention;
FIG. 3 illustrates a flowchart representative of a first embodiment of a method of reducing a confidence threshold in accordance with the present invention;
FIG. 4 illustrates a flowchart representative of a second embodiment of a method of configuring a speech recognition unit in a vehicle in accordance with the present invention; and
FIG. 5 illustrates a flowchart representative of a third embodiment of a method of configuring a speech recognition unit in a vehicle in accordance with the present invention.
Telematics unit 120 includes a processor 122 connected to a wireless modem 124, a global positioning system (GPS) unit 126, an in-vehicle memory 128, a microphone 130, one or more speakers 132, and an embedded or in-vehicle mobile phone 134. In other embodiments, telematics unit 120 may be implemented without one or more of the above listed components, such as, for example GPS unit 126 or speakers 132. Telematics unit 120 may include additional components not relevant to the present discussion.
In one embodiment, processor 122 is a digital signal processor (DSP). Processor 122 is implemented as a microcontroller, microprocessor, controller, host processor, or vehicle communications processor. In an example, processor 122 is implemented as an application specific integrated circuit (ASIC). In another embodiment, processor 122 is implemented as a processor working in conjunction with a central processing unit (CPU) performing the function of a general purpose processor. GPS unit 126 provides longitude and latitude coordinates of the vehicle responsive to a GPS broadcast signal received from one or more GPS satellite broadcast systems (not shown). In-vehicle mobile phone 134 is a cellular-type phone, such as, for example an analog, digital, dual-mode, dual-band, multi-mode or multi-band cellular phone.
Processor 122 executes various computer programs that control programming and operational modes of electronic and mechanical systems within MVCU 110. Processor 122 controls communications (e.g. call signals) between telematics unit 120, wireless carrier system 140, and call center 170. Processor 122 generates and accepts digital signals transmitted between telematics unit 120 and a vehicle communication network 112 that is connected to various electronic modules in the vehicle. In one embodiment, these digital signals activate the programming mode and operation modes, as well as provide for data transfers.
A voice-recognition application is installed in a speech recognition unit 136. Human voice input through microphone 130 is translated into digital signals by processor 122. The speech recognition unit 136 recognizes the translated digital signals to be words or phrases, which represent commands or words in a grammar set related to the command. Instructions associated with the recognized words are transmitted from the speech recognition unit 136 to the processor 122, which activates the instructions. In one embodiment, the speech recognition unit 136 is internal to the processor 122.
FIG. 2 illustrates a flowchart 200 representative of a first embodiment of a method of configuring a speech recognition unit 136 in a MVCU 110 in accordance with the present invention. During stage S202, the telematics unit 120 receives a noise error (NE) from the speech recognition unit 136 responsive to an unrecognized user voice command. The user voice command received by microphone 130 is translated into digital signals by processor 122. The processor 122 transmits the digital signal to the speech recognition unit 136. The speech recognition unit 136 attempts to match the translated digital signals with digital signals for words stored in the speech recognition unit 136.
The digital signals for words stored in the speech recognition unit 136 are acoustic models. Grammar sets are associated with commands. Acoustic models include digital signals for words that are likely to be uttered during a speech task related to the command. In one embodiment, for example, a dial-command grammar set includes a representation for the word ‘dial,’ the words for all the numbers from zero to ninety-nine and the letter ‘O.’
If the speech recognition unit 136 matches the translated digital signals with stored digital signals for words, the user voice command is recognized. If the signal to noise ratio is too low for a match to be made with a preset confidence threshold, a noise error is generated. A computer readable medium storing a computer program within the speech recognition unit 136 is programmed with computer readable code to attempt to match digital signals, to generate a noise error and to transmit the noise error to the processor 122 in the telematics unit 120.
During stage S204, the telematics unit 120 reduces a confidence threshold (CT) for an appropriate grammar set responsive to the noise error (NE) received at the processor 122. A computer readable medium storing a computer program within the processor 122 is programmed with computer readable code to send a reduce-confidence-threshold instruction to the speech recognition unit 136. The speech recognition unit 136 then reduces the confidence threshold by a preset amount. The preset amount is stored in the speech recognition unit 136. In one embodiment, the preset amount is reduced incrementally. For example, the preset amount may be reduced a predetermined percentage of the range of the confidence threshold. The predetermined percentage is calculated in response to at least one factor. Factors include dialect, region, energy levels present in the spoken utterance, volume, history of spoken utterances by a particular user.
In some embodiments, the original command is unrecognized by the speech recognition unit 136 so the confidence level is reduced for all the grammar sets in the speech recognition unit 136. In another embodiment, the confidence level is reduced for a specific command-grammar-set, which includes all the words and phrases to initiate a command within the telematics unit 120. In one embodiment, a specific command-grammar-set applies to number grammar for dialing numbers, and confidence level is reduced for the specific number grammar.
An exemplary method of reducing the confidence threshold for an appropriate grammar set responsive to the received noise error is described below with reference to flowchart 300 in FIG. 3.
During stage S206, the telematics unit 120 announces an unrecognized-command message to a user responsive to the reduction of the confidence threshold (CT). The computer readable medium storing a computer program within the processor 122 is programmed with computer readable code to generate an advisory message when the instruction to reduce-confidence-threshold is sent to the speech recognition unit 136. The advisory message is a digital signal that is transmitted as spoken words via speakers 132 so the user is prompted to repeat the voice command. In one embodiment, the advisory message indicates the source of reduced confidence, such as “too much noise.”
The speech recognition unit 136 now has a higher probability of recognizing the user voice command since the confidence threshold is lower. In one embodiment, given the reduced confidence threshold, the speech recognition unit 136 will now find more than one possible match to the repeated user voice command. In this case, the telematics unit 120 prompts the user to determine which voice command the user actually stated. For example, the telematics unit 120 announces, “Did you say Call Mom?” If the user did not say “Call Mom,” the user says, “No.” Then the telematics unit 120 announces, “Did you say Call Tom?” and the user says, “Yes.” The telematics unit 120 then initiates a call to Tom in accordance with the user voice command.
During stage S208, the telematics unit 120 resets the confidence thresholds (CTs) to default when ignition is cycled, that is, when the MVCU 110 is turned off. The computer readable medium storing a computer program within the processor 122 is programmed with computer readable code to send a set-confidence-threshold-to-default instruction to the speech recognition unit 136 when the MVCU 110 is turned off. The default confidence threshold is the confidence threshold that was installed in the telematics unit 120 at the factory. In one embodiment, the processor 122 sends a set-confidence-threshold-to-default instruction to the speech recognition unit 136 when the MVCU 110 is turned off and on. In other embodiments, the confidence threshold is stored in the processor 122, which is programmed to set the confidence threshold to the default level when the MVCU 110 is turned off and/or on. In another embodiment, the confidence threshold is set by an advisor at a call center. In another embodiment, the confidence threshold is set by a dealer.
FIG. 3 illustrates a flowchart 300 representative of a first embodiment of a method of reducing a confidence threshold in accordance with the present invention. During stage S302, the telematics unit 120 retrieves the current confidence threshold (CT) responsive to a received noise error. The computer readable medium storing a computer program within the processor 122 is programmed with computer readable code to retrieve the current confidence threshold from a memory (not shown) in the speech recognition unit 136 when a noise error is received at the telematics unit 120. In another embodiment, the current confidence threshold is retrieved from the in-vehicle memory 128 in the telematics unit 120.
During stage S304, the telematics unit 120 determines whether the current confidence threshold (CT) equals a minimum confidence threshold (CT). The computer readable medium storing a computer program within the processor 122 is programmed with computer readable code to compare the retrieved current confidence threshold with a minimum confidence threshold to determine if they are equal. The minimum confidence threshold is stored in the telematics unit 120. In one embodiment, the minimum confidence threshold is stored in the in-vehicle memory 128 in the telematics unit 120.
In another embodiment, the speech recognition unit 136 compares the current confidence threshold stored in the speech recognition unit 136 with a minimum confidence threshold. In this embodiment, the minimum confidence threshold is stored in a memory (not shown) in the speech recognition unit 136.
During stage S306, the telematics unit 120 reduces the current confidence threshold (CT) by a preset amount based on the determination made during stage S304. If the current confidence threshold does not equal the minimum confidence threshold, the computer readable medium storing a computer program within the processor 122 is programmed with computer readable code to send a reduce-confidence-threshold instruction to the speech recognition unit 136. The speech recognition unit 136 contains computer readable code to subtract the preset amount from the current confidence threshold in response to the instruction to reduce the confidence threshold. The preset amount is stored in a memory (not shown) within the speech recognition unit 136. Then the speech recognition unit 136 uses the reduced confidence threshold in the process of recognizing the next user voice command received by the telematics unit 120, as described above with reference to stage S202 in flowchart 200 in FIG. 2.
In one embodiment, the processor 122 retrieves the preset amount from in-vehicle memory 128 and sends a reduce-confidence-threshold instruction along with the retrieved preset amount, to the speech recognition unit 136. In another embodiment, the processor 122 subtracts the preset amount from the current confidence threshold and transmits the reduced confidence threshold to the speech recognition unit 136. In one embodiment, the preset amount, by which the confidence threshold is reduced, is a percentage of the current confidence threshold.
If the current confidence threshold equals the minimum confidence threshold, the current confidence threshold is not reduced. In that case, the telematics unit 120 announces an unrecognized command message to the user.
FIG. 4 illustrates a flowchart 400 representative of a second embodiment of a method of configuring a speech recognition unit 136 in an MVCU 110 in accordance with the present invention. Flowchart 400 describes an embodiment in which the confidence threshold is reduced after announcing more than one noise reduction advisory messages to the user during a speech recognition session. In this embodiment, the confidence threshold is reduced by the preset amount two times responsive to at least two respective received noise errors. The user is prompted to repeat the voice-command after each reduction in confidence threshold.
During stage S402, the telematics unit 120 receives a first noise error (NE) from the speech recognition unit (SRU) 136 responsive to a user voice command not being recognized. During stage S404, the telematics unit 120 announces a noise reduction advisory message to a user responsive to the received noise error (NE) to prompt the user to repeat the voice command. The noise reduction advisory message asks the user to reduce the noise level in the MVCU 110, prior to repeating the voice command. In some embodiments, the user is able to reduce some ambient noise in the MVCU 110. In other embodiments, the noise is external to the MVCU 110 and the user cannot reduce the noise level in the MVCU 110. The user repeats the voice command. The speech recognition unit 136 attempts to recognize the user voice command. If the user voice command is not recognized, the speech recognition unit 136 transmits a second noise error to the telematics unit 120.
During stage S406, the telematics unit 120 receives a second noise error (NE) from the speech recognition unit (SRU) 136 responsive to the repeated user voice command not being recognized by the speech recognition unit 136. During stage S408, the telematics unit 120 announces the noise reduction advisory message to the user responsive to the second received noise error (NE) to prompt the user to repeat the voice command for a third time. The user announces the voice command for the third time. The speech recognition unit 136 attempts to recognize the third user voice command. If the third user voice command is not recognized, the speech recognition transmits a third noise error to the telematics unit 120.
If the third announced user voice command is recognized, the telematics unit 120 provides the requested service. In this case, the speech recognition unit 136 transmits an instruction associated with the recognized command to the telematics unit 120 or continues the dialog.
During stage S410, the telematics unit 120 receives the third noise error (NE) from the speech recognition unit (SRU) 136 responsive to the third user voice command not being recognized. During stage S412, the telematics unit 120 reduces a current confidence threshold (CT) for an appropriate grammar set responsive to the third received noise error received during stage S410. The method of reducing a confidence threshold proceeds as described above with reference to flowchart 300 in FIG. 3.
During stage S414, the telematics unit 120 announces the unrecognized-command message to the user responsive to the reduction of the confidence threshold (CT). The unrecognized-command message prompts the user to announce the voice command for the fourth time. The user announces the voice command for the fourth time. The speech recognition unit 136 attempts to recognize the fourth user voice command. If the fourth user voice command is not recognized, the speech recognition transmits a fourth noise error to the telematics unit 120. If the fourth user voice command is recognized, the telematics unit 120 provides the requested service.
During stage S416, the telematics unit 120 receives a fourth noise error (NE) from the speech recognition unit (SRU) 136 responsive to the fourth user voice command not being recognized. During stage S418, the telematics unit 120 reduces the confidence threshold (CT) for the appropriate grammar set responsive to the fourth received noise error (NE). During stage S420, the telematics unit 120 announces an advisory message to a user responsive to the second reduction of the confidence threshold. The advisory message prompts the user to announce the voice command for the fifth time.
The flow can proceed in like manner with the telematics unit 120 going through cycles of receiving user voice commands, attempting to recognize the user voice commands, receiving noise errors, reducing the confidence threshold and prompting the user to repeat the voice command until one of three events occur.
The first event to stop the cycle occurs when the speech recognition unit 136 recognizes the user voice command and the telematics unit 120 provides the requested service. The second event to stop the cycle occurs when the minimum confidence threshold is reached before the speech recognition session recognized the user voice command. The third event to stop the cycle occurs when the recognition is not successful after a predetermined number of attempts, such as 5. In this case, the telematics unit 120 announces a message to the user that the speech recognition session is terminated. In one embodiment, the telematics unit 120 announces, “The command is not recognized. Please try again.”
FIG. 5 illustrates a flowchart 500 representative of a third embodiment of a method of configuring a speech recognition unit 136 in a MVCU 110 in accordance with the present invention. In this embodiment, unlike the second embodiment described with reference to flowchart 400 in FIG. 4, the user is only prompted to repeat the message once. The flowchart 500 begins at a point that follows the stages of S402 and S404 in flowchart 400 in FIG. 4.
During stage S502, the telematics unit (TU) 120 receives a repeated user voice command. During stage S504, the telematics unit 120 receives a second noise error (NE) from the speech recognition unit 136 responsive to the repeated user voice command not being recognized by the speech recognition unit 136. During stage S506, the repeated user voice command is stored in the telematics unit (TU) 120. The repeated user voice command is received by microphone 130 and translated into digital signals by processor 122. In one embodiment, the digital signals of the repeated user voice command are temporarily stored in a memory (not shown) in the speech recognition unit 136. In another embodiment, the digital signals of the repeated user voice command are temporarily stored in the in-vehicle memory 128 in the telematics unit 120. The digital signals of the repeated user voice command are deleted from memory when the speech recognition session is terminated.
During stage S508, the confidence threshold (CT) is reduced for an appropriate grammar set responsive to the second received noise error (NE), as described above with reference to flowchart 300 in FIG. 3. During stage S510, the speech recognition unit 136 attempts to recognize the stored repeated user voice command after the confidence threshold is reduced. The speech recognition unit 136 retrieves the temporarily stored digital commands of the repeated user voice command and attempts to match them with digital commands in the appropriate grammar set. The digital signals in the appropriate grammar set are stored in the speech recognition unit 136. If the reduced confidence threshold is still too high for a match, a third noise error is generated by the speech recognition unit 136 and transmitted to the processor 122.
During stage S512, the telematics unit 120 determines if a noise error (NE) was received responsive to the attempt by the speech recognition unit 136 to recognize the stored user voice command. If a noise error was not received, the telematics unit (TU) 120 provides the requested service during stage S520. During stage S520, the speech recognition unit 136 transmits an instruction associated with the recognized command to the telematics unit 120 or continues with the dialog. The telematics unit 120 receives the associated instruction and initiates the process or processes appropriate to respond to the user voice command.
If a noise error was received during stage S512, the telematics unit 120 determines if the current confidence threshold (CT) equals the minimum confidence threshold (CT) during stage S514. If the current confidence threshold equals the minimum confidence threshold, then during stage S522, the telematics unit (TU) 120 announces an advisory message to the user. In this case, the telematics unit 120 announces a message to the user that the speech recognition session is terminated. In one embodiment, the telematics unit 120 announces, “Command not recognized. Please try again.”
If the current confidence threshold is greater than the minimum confidence threshold, then during stage S516, the telematics unit (TU) 120 reduces the confidence threshold (CT) for the appropriate grammar set responsive to the received noise error (NE) as described above in reference to stage S306 in flowchart 300 in FIG. 3.
During stage S518, the speech recognition unit 136 attempts to recognize the stored repeated voice command as described above in stage S510. Then the flow returns to stage S512.
Until one of three events occurs, the flowchart 500 cycles through stages S512-S518 without prompting the user to repeat the voice command. The first event to stop the cycle through stages S512-S518 occurs when the speech recognition unit 136 recognizes the user voice command and the telematics unit 120 provides the requested service as described above with reference to stage S520. The second event to stop the cycle through stages S512-S518 occurs when the minimum confidence threshold is reached and the telematics unit 120 announces an unrecognized command to the user as in stage S522. The third events occur after the recognition was not successful.
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