Systems and methods for dynamic re-configurable speech recognition
First Claim
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1. A method comprising:
- receiving a voice request from a user at a device;
generating, on the device, a user identifier using the voice request and time-based rules associated with the device;
comparing stored user identities to the user identifier, to yield a comparison;
estimating, via successive comparisons, a background noise parameter and a transducer noise parameter, wherein a delay between the successive comparisons is increased when successive changes do not exceed a threshold value; and
when, based on the comparison, the user is associated with the device;
retrieving a parameterizable speaker independent speech recognition model associated with the user identifier; and
adapting the parameterizable speaker independent speech recognition model based on the background noise parameter and the transducer noise parameter.
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Abstract
Speech recognition models are dynamically re-configurable based on user information, background information such as background noise and transducer information such as transducer response characteristics to provide users with alternate input modes to keyboard text entry. The techniques of dynamic re-configurable speech recognition provide for deployment of speech recognition on small devices such as mobile phones and personal digital assistants as well environments such as office, home or vehicle while maintaining the accuracy of the speech recognition.
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Citations
15 Claims
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1. A method comprising:
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receiving a voice request from a user at a device; generating, on the device, a user identifier using the voice request and time-based rules associated with the device; comparing stored user identities to the user identifier, to yield a comparison; estimating, via successive comparisons, a background noise parameter and a transducer noise parameter, wherein a delay between the successive comparisons is increased when successive changes do not exceed a threshold value; and when, based on the comparison, the user is associated with the device; retrieving a parameterizable speaker independent speech recognition model associated with the user identifier; and adapting the parameterizable speaker independent speech recognition model based on the background noise parameter and the transducer noise parameter. - View Dependent Claims (2, 3, 4, 5)
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6. A system comprising:
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a processor; a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising; receiving a voice request from a user at a device; generating, on the device, a user identifier using the voice request and time-based rules associated with the device; comparing stored user identities to the user identifier, to yield a comparison; estimating, via successive comparisons, a background noise parameter and a transducer noise parameter, wherein a delay between the successive comparisons is increased when successive changes do not exceed a threshold value; and when, based on the comparison, the user is associated with the device; retrieving a parameterizable speaker independent speech recognition model associated with the user identifier; and adapting the parameterizable speaker independent speech recognition model based on the background noise parameter and the transducer noise parameter. - View Dependent Claims (7, 8, 9, 10)
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11. A computer-readable storage device having instructions stored which, when executed by a computing device, result in the computing device to perform operations comprising:
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receiving a voice request from a user at a device; generating, on the device, a user identifier using the voice request and time-based rules associated with the device; comparing stored user identities to the user identifier, to yield a comparison; estimating, via successive comparisons, a background noise parameter and a transducer noise parameter, wherein a delay between the successive comparisons is increased when successive changes do not exceed a threshold value; and when, based on the comparison, the user is associated with the device; retrieving a parameterizable speaker independent speech recognition model associated with the user identifier; and adapting the parameterizable speaker independent speech recognition model based on the background noise parameter and the transducer noise parameter. - View Dependent Claims (12, 13, 14, 15)
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Specification