Confidence measure system using a near-miss pattern
First Claim
1. A method of performing speech recognition, the method comprising:
- receiving an utterance of input speech;
creating a near miss list of possible word entries for the utterance, each word entry including an associated value of probability that the utterance corresponds to the word entry;
comparing the near-miss list with a stored near-miss confidence template in a collection, wherein each near-miss confidence template in the collection comprises a list of word entries and each word entry in each list includes an associated value; and
performing confidence measure in a speech recognition system based on the comparison of the values in the near-miss list of possible word entries with the values of at least one of the near-miss confidence templates in the collection.
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Abstract
A method and system of performing confidence measure in a speech recognition system includes receiving an utterance of input speech and creating a near-miss pattern or a near-miss list of possible word entries for the utterance. Each word entry includes an associated value of probability that the utterance corresponds to the word entry. The near-miss list of possible word entries is compared with corresponding stored near-miss confidence templates. Each word in the vocabulary (or keyword list) of near-miss confidence template, which includes a list of word entries and each word entry in each list includes an associated value. Confidence measure for a particular hypothesis word is performed based on the comparison of the values in the near-miss list of possible word entries with the values of the corresponding near-miss confidence template.
124 Citations
30 Claims
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1. A method of performing speech recognition, the method comprising:
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receiving an utterance of input speech;
creating a near miss list of possible word entries for the utterance, each word entry including an associated value of probability that the utterance corresponds to the word entry;
comparing the near-miss list with a stored near-miss confidence template in a collection, wherein each near-miss confidence template in the collection comprises a list of word entries and each word entry in each list includes an associated value; and
performing confidence measure in a speech recognition system based on the comparison of the values in the near-miss list of possible word entries with the values of at least one of the near-miss confidence templates in the collection. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method for generating near-miss confidence templates for a collection in a speech recognition system, the method comprising the steps of:
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obtaining a set of near-miss confidence templates for input word tokens of the same word for each of a plurality of different words, wherein each near-miss confidence template of each set of near-miss confidence templates comprises a list of word entries having an associated value related to acoustic similarity; and
combining the set of near-miss confidence templates as a function of the lists of word entries and associated values to generate a single near miss confidence template for each of the plurality of different words. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
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Specification