Uncertainty interval content sensing within communications
First Claim
1. A method for content sensing a user'"'"'s communication, the method comprising:
- generating based on speech recognition a first lattice for a first component of the user'"'"'s communication, the first lattice representing at least one hypothesis for the first component of the user'"'"'s communication, the first lattice comprising a first certainty value for a first content word of at least one hypothesis for the first component of the user'"'"'s communication;
generating a first uncertainty value for the first content word;
generating based on speech recognition a second lattice for a second component of the user'"'"'s communication, wherein the second component is a different segment of the user'"'"'s communication than the first component, the second lattice representing at least one hypothesis for the second component of the user'"'"'s communication, the second lattice comprising a second certainty value for the first content word, wherein the first content word is also a content word of at least one hypothesis for the second component of the user'"'"'s communication;
generating a second uncertainty value for the first content word based on the first uncertainty value for the first content word and the second certainty value for the first content word;
comparing the second uncertainty value for the first content word to an established confidence threshold; and
using the first content word to provide user information if the second uncertainty value of the first content word has a defined relationship to the established confidence threshold.
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Accused Products
Abstract
Repetition of content words in a communication is used to increase the certainty, or, alternatively, reduce the uncertainty, that the content words were actual words from the communication. Reducing the uncertainty of a particular content word of a communication in turn increases the likelihood that the content word is relevant to the communication. Reliable, relevant content words mined from a communication can be used for, e.g., automatic internet searches for documents and/or web sites pertinent to the communication. Reliable, relevant content words mined from a communication can also, or alternatively, be used to automatically generate one or more documents from the communication, e.g., communication summaries, communication outlines, etc.
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Citations
20 Claims
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1. A method for content sensing a user'"'"'s communication, the method comprising:
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generating based on speech recognition a first lattice for a first component of the user'"'"'s communication, the first lattice representing at least one hypothesis for the first component of the user'"'"'s communication, the first lattice comprising a first certainty value for a first content word of at least one hypothesis for the first component of the user'"'"'s communication; generating a first uncertainty value for the first content word; generating based on speech recognition a second lattice for a second component of the user'"'"'s communication, wherein the second component is a different segment of the user'"'"'s communication than the first component, the second lattice representing at least one hypothesis for the second component of the user'"'"'s communication, the second lattice comprising a second certainty value for the first content word, wherein the first content word is also a content word of at least one hypothesis for the second component of the user'"'"'s communication; generating a second uncertainty value for the first content word based on the first uncertainty value for the first content word and the second certainty value for the first content word; comparing the second uncertainty value for the first content word to an established confidence threshold; and using the first content word to provide user information if the second uncertainty value of the first content word has a defined relationship to the established confidence threshold. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for uncertainty interval application in a system, the method comprising:
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generating based on speech recognition a first lattice for a first component used by the system, the first lattice representing one or more hypotheses for the first component of the user'"'"'s communication; generating based on the first lattice, by a processing unit, an uncertainty value for a portion of a first hypothesis of the one or more hypotheses; storing the uncertainty value generated for the portion of the first hypothesis wherein the stored uncertainty value is a current accumulated uncertainty value; generating based on speech recognition at least one additional lattice for each of one or more additional components used by the system, wherein the one or more additional components are distinct from the first component, each of the at least one additional lattices representing at least one hypothesis for one of the one or more additional components used by the system; generating based on the at least one additional lattice an uncertainty value for a portion of each hypothesis generated for the one or more additional components used by the system; multiplying the uncertainty value for one or more portions of the hypotheses generated for the one or more additional components used by the system by the current accumulated uncertainty value wherein after each multiplication of an uncertainty value by the current accumulated uncertainty value the result of the multiplication is stored as the current accumulated uncertainty value; and comparing the current accumulated uncertainty value to a confidence threshold. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A method for increasing the reliability of word recognition in a user'"'"'s communication, the method comprising:
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generating by a processing unit an initial uncertainty value for a first word that is hypothesized as being included in a first component of the user'"'"'s communication, the initial uncertainty value generated from a first lattice, the first lattice generated based on speech recognition; generating a second uncertainty value for the first word when the first word is hypothesized as being included in a second component of the user'"'"'s communication, wherein the second uncertainty value is based at least in part on the initial uncertainty value for the first word and a second lattice, the second lattice generated based on speech recognition; saving the second uncertainty value for the first word as the first word'"'"'s present uncertainty value; generating a new uncertainty value for the first word when the first word is hypothesized as being included in a new component of the user'"'"'s communication, wherein a new component of the user'"'"'s communication is any component of the user'"'"'s communication other than the first component or the second component of the user'"'"'s communication, and wherein the new uncertainty value for the first word is based at least in part on the present uncertainty value of the first word; saving the new uncertainty value for the first word as the first word'"'"'s present uncertainty value; and designating the first word reliable if a present uncertainty value of the first word has a defined relationship to an established confidence threshold. - View Dependent Claims (18, 19, 20)
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Specification