Apparatus and method to reduce recognition errors through context relations among dialogue turns
First Claim
1. An apparatus to reduce recognition error through context relation among dialogue turns, comprising:
- a rule storage unit having a rule set containing one or more rules, each rule being represented with the dialogue turn as basic element;
an evolutionary rule generation module connected to said rule storage unit, for training said rule set by performing an evolutionary adaptation on a dialogue log to obtain a trained rule set; and
a rule trigger unit connected to said rule storage unit, based on said trained rule set and the dialogue history of a plurality of previous dialogue turns, said rule trigger unit selecting at least a rule and the corresponding confidence measure from said trained set for providing an automatic speech recognition system to reevaluate the speech recognition.
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Abstract
Disclosed is directed an apparatus and method to reduce recognition errors through context relations among multiple dialogue turns. The apparatus includes a rule set storage unit having a rule set containing one or more rules, an evolutionary rule generation module connected to the rule storage unit, and a rule trigger unit connected to the rule storage unit. The rule set uses dialogue turn as a unit for the information described by each rule. The method analyzes a dialogue history through an evolutionary massive parallelism approach to get a rule set describing the context relation among dialogue turns. Based on the rule set and recognition result of an ASR system, it reevaluates the recognition result, and measures the confidence measure of the reevaluated recognition result. After each successful dialogue turn, the rule set is dynamically adapted.
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Citations
19 Claims
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1. An apparatus to reduce recognition error through context relation among dialogue turns, comprising:
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a rule storage unit having a rule set containing one or more rules, each rule being represented with the dialogue turn as basic element; an evolutionary rule generation module connected to said rule storage unit, for training said rule set by performing an evolutionary adaptation on a dialogue log to obtain a trained rule set; and a rule trigger unit connected to said rule storage unit, based on said trained rule set and the dialogue history of a plurality of previous dialogue turns, said rule trigger unit selecting at least a rule and the corresponding confidence measure from said trained set for providing an automatic speech recognition system to reevaluate the speech recognition. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method to reduce recognition error through context relation among dialogue turns, said method comprising:
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analyzing a dialogue historic log to train a rule set through a massive parallelism evolutionary approach, said rule set describing context relations among one or more dialogue turns; reevaluating said recognition result, and measuring the confidence measure of said reevaluated recognition result based on said rule set and recognition result of an automatic speech recognition (ASR) system; and dynamically adjusting said rule set for each successful dialogue turn. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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Specification