Automatic accuracy estimation for audio transcriptions
First Claim
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1. A computer-implemented method for estimating the accuracy of a transcription of a voice recording, comprising:
- calculating an accuracy number by dividing a number of accurate words in the transcript on by a total number of words in the transcription;
assigning a greater weight to at least one word exceeding a predefined number of characters as compared to at least one other word below the predetermined number of characters;
automatically extracting using natural language processing, from a data structure that is one of a common language dictionary, customer specific dictionary or a knowledge base, a set of axioms associated with at least one of the words in the transcription, wherein the set of axioms comprises a computer-parsable definition of a relationship of data to the at least one of the words; and
assigning a confidence level to each axiom of the set of axioms based on a result of the dividing and the assigning of weight, wherein the confidence level is assigned based on an output of a Gaussian function applied to a result of the dividing and the assigning of weight.
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Abstract
Embodiments of the present invention provide an approach for estimating the accuracy of a transcription of a voice recording. Specifically, in a typical embodiment, each word of a transcription of a voice recording is checked against a customer-specific dictionary and/or a common language dictionary. The number of words not found in either dictionary is determined. An accuracy number for the transcription is calculated from the number of said words not found and the total number of words in the transcription.
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17 Claims
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1. A computer-implemented method for estimating the accuracy of a transcription of a voice recording, comprising:
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calculating an accuracy number by dividing a number of accurate words in the transcript on by a total number of words in the transcription; assigning a greater weight to at least one word exceeding a predefined number of characters as compared to at least one other word below the predetermined number of characters; automatically extracting using natural language processing, from a data structure that is one of a common language dictionary, customer specific dictionary or a knowledge base, a set of axioms associated with at least one of the words in the transcription, wherein the set of axioms comprises a computer-parsable definition of a relationship of data to the at least one of the words; and assigning a confidence level to each axiom of the set of axioms based on a result of the dividing and the assigning of weight, wherein the confidence level is assigned based on an output of a Gaussian function applied to a result of the dividing and the assigning of weight. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for estimating the accuracy of a transcription of a voice recording, comprising:
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a memory medium comprising instructions;
a bus coupled to the memory medium; andan audio transcription tool coupled to the bus that when executing the instructions causes the system to; calculate an accuracy number by dividing a number of accurate words in the transcription by a total number of words in the transcription; assign a greater weight to at least one word exceeding a predefined number of characters as compared to at least one other word below the predetermined number of characters; automatically extracting using natural language processing, from a data structure that is one of a common language dictionary, customer specific dictionary or a knowledge base, a set of axioms associated with at least one of the words in the transcription, wherein the set of axioms comprises a computer-parsable definition of a relationship of data to the at least one of the words; and assign a confidence level to each axiom of the set of axioms based on a result of the dividing and the assigning of weight, wherein the confidence level is assigned based on an output of a Gaussian function applied to a result of the dividing and the assigning of the weight. - View Dependent Claims (9, 10, 11, 12)
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13. A computer program product for estimating the accuracy of a transcription of a voice recording, the computer program product comprising a non-transitory computer readable storage medium, and program instructions stored on the non-transitory computer readable storage medium, to:
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calculate an accuracy number by dividing a number of accurate words in the transcription by a total number of words in the transcription; assign a greater weight to at least one word exceeding a predefined number of characters as compared to at least one other word below the predetermined number of characters; automatically extracting using natural language processing, from a data structure that is one of a common language dictionary, customer specific dictionary or a knowledge base, a set of axioms associated with at least one of the words in the transcription, wherein the set of axioms comprises a computer-parsable definition of a relationship of data to the at least one of the words; and assign a confidence level to each axiom of the set of axioms based on a result of the dividing and the assigning of weight, wherein the confidence level is assigned based on an output of a Gaussian function applied to a result of the dividing and the assigning of weight. - View Dependent Claims (14, 15, 16, 17)
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Specification